CN1935102B - Experimental animal grouping method - Google Patents

Experimental animal grouping method Download PDF

Info

Publication number
CN1935102B
CN1935102B CN2006101137399A CN200610113739A CN1935102B CN 1935102 B CN1935102 B CN 1935102B CN 2006101137399 A CN2006101137399 A CN 2006101137399A CN 200610113739 A CN200610113739 A CN 200610113739A CN 1935102 B CN1935102 B CN 1935102B
Authority
CN
China
Prior art keywords
group
body weight
value
grouping
animal
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
CN2006101137399A
Other languages
Chinese (zh)
Other versions
CN1935102A (en
Inventor
沈连忠
曹禹
王奇
任建廷
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Genmax Biomed Co Ltd (beijing)
NATIONAL INSTITUTE FOR CONTROL OF PHARMACEUTICAL AND BIOLOGICAL PRODUCTS
Original Assignee
Genmax Biomed Co Ltd (beijing)
NATIONAL INSTITUTE FOR CONTROL OF PHARMACEUTICAL AND BIOLOGICAL PRODUCTS
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Genmax Biomed Co Ltd (beijing), NATIONAL INSTITUTE FOR CONTROL OF PHARMACEUTICAL AND BIOLOGICAL PRODUCTS filed Critical Genmax Biomed Co Ltd (beijing)
Priority to CN2006101137399A priority Critical patent/CN1935102B/en
Publication of CN1935102A publication Critical patent/CN1935102A/en
Application granted granted Critical
Publication of CN1935102B publication Critical patent/CN1935102B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Investigating Or Analysing Biological Materials (AREA)

Abstract

The present invention discloses a method for grouping experimental animals. Said method includes the following steps: (1), determining marker value of every individuality in the animal samples to be grouped; (2), according to the group number required fro animal experiment, and individuality number of every group and marker values of all the individuatilies making grouping operation. Besides, saidinvention also provides its grouping formula, and provides its operation method.

Description

A kind of method of laboratory animal grouping
Technical field
The present invention relates to a kind of method of laboratory animal grouping.
Background technology
In the medical research, how the design that must experimentize before specifically testing is for example divided into groups, how rationally to be estimated sample example number in each processed group (treatment combination), how further operation is done in the aspects such as control of non-processing factor and arrange study subject.Contrast, be the big principle of three in the experimental design with repeating at random, this is that any experiment all should hig diligence and follow.
Contrast is the First Principles of experimental design.Have comparison to differentiate, contrast is the basis of comparison.Except being observed the processing factor, other tangent condition that influences effect index should be tried one's best together neat in experimental group and matched group, and the comparability of height be arranged, and could get rid of the influence of Confounding Factor, and the project of experimental observation is made scientific conclusion.The kind of contrast has a lot, can be selected according to research purpose and content.Commonly used having is following several: 1. blank, matched group does not apply any processing factor.This method is simple, but causes experimental group and matched group difference psychologically easily, thereby influences the mensuration of experimental effect.Clinical observation on the therapeutic effect generally should not adopt this kind contrast.2. placebo, matched group adopts a kind of placebo that does not have pharmacological action, pharmaceutical dosage form or dispose and can not discern for study subject.Because spiritual psychological factor also can produce material impact with the endocrine multipath to body and disease by neural.Clinical efficacy about 30% is from the psychological effect of patient to medical personnel and medical measure according to estimates.But must note in clinical research, must following patient's interests first principle.It is generally acknowledged the chronic disease that only has or not specific treatment, can use placebo.3. experiment condition contrast, matched group does not apply the processing factor, but applies certain experiment condition identical with the processing factor.Experiment condition comprises the solvent of operating technology, tested factor or capacity etc.All experiment conditions that test effect is exerted an influence should adopt this method.4. standard control is done contrast with existing standard method or conventional method.When observe estimating certain medicine or therapy, for not incuring loss through delay patient's treatment, for acute disease, critical illness with the disease of special treatment way is arranged, all use known active drug, effectively therapy or the recognized standard therapy compare to certain sick curative effect.
Clinical efficacy judges that it is not enough that self cross-reference is only arranged, because the generation of numerous disease, development are relevant with factors such as time, seasons.Secondly, for most diseases, historical control also is accessory, because along with the transition in age, significant change has taken place many conditions; But the disease of " incurable disease " thought at present can also be historical as potential contrast.
In experimentation, not only require to have contrast, except the processing factor, other may produce the non-processing factor (contrast and experimental group) in each group that mixes effect and be consistent as far as possible, keep the harmony of respectively organizing between also requiring respectively to organize.Implement randomization and be the balanced important means between the raising group; When also being data statistics analyse, carry out the prerequisite of statistical inference.The purpose of randomized sampling to make exactly overall in each object of study all have equal chance to be extracted to be assigned to experimental group or matched group.
Make statistic (sample index) representation parameter (overall objective), except that dwindling the error with arbitrary sampling method, repeated experiments is to guarantee experimental result another basic skills reliably, and this is another basic principle of experimental design.The certain repeat number of requirement of experiment its objective is that to make mean true to nature, and stability criterion is poor, only in this way could represent overall parameter from the statistic of sample, and statistical inference just has reliable premise.
The determiner that repeats routine number (sample example number) comprises the size, data character of size, the bion variation of the explicitly of the effect of processing, experimental error, definite error of first kind (α) and the size of error of the second kind (β) and type of experimental design.In a word, sample example number all is unfavorable for disclosing the difference between things too much or very little.For this reason, should guarantee that experimental result has under the condition of certain reliability, determine minimum sample example number, so that save manpower and funds.
In drug research, usually need to carry out zoopery.Must relate to the animal grouping in the zoopery, as in drug toxicity research, the animal toxicity of research different dosing dosage group (matched group, high dose group, middle dosage group, low dose group), and research medicine breeding toxicity; In drug metabolism research, linear pharmacokinetic study needs three various dose groups and matched group at least; Learn in the research at medicine effect, main pharmacodynamics research should be established matched group, comprises blank (normally reach the animal pattern matched group, should establish the solvent matched group in case of necessity) and positive drug matched group, and experimental group also needs a plurality of various dose and different modes of administration.
When carrying out zoopery, often the laboratory animal that chooses need be divided into some groups by the needs of studying.The animal grouping should be by the principle of random assortment, make every animal all have equal chance to be assigned in each experimental group and the matched group and go,, influence experimental result to avoid the difference between each group, particularly carry out statistical test accurately, must on the basis of random packet, carry out.Every treated animal quantity should be by experimental period length, experiment type and statistics requirement and is decided.If chronic experiment or need regularly to put to death the experiment that animal is tested just requires to select more animal, to supply the animal natural death and to think and put to death the quantity of being lost, guaranteeing to test has the size of animal existence that conforms with the statistics requirement when finishing.
Evenly grouping is significant to the animal grouping, and evenly grouping can make every group sample attribute unanimity, and group difference can not influence experimental result; And traditional method is used random packet, does not reach the optimization of even grouping, and group difference will cause the experimental result difference, influences the correct analysis of researcher to result of study.
Summary of the invention
The method that the purpose of this invention is to provide a kind of laboratory animal grouping.
The method of laboratory animal grouping provided by the present invention may further comprise the steps:
1) measures each individual value of statistical indicant in the animal specimen of waiting to divide into groups;
2) number of individuals of the group number that requires according to zoopery and every group is to 1) in all individual values of statistical indicant divide into groups, find out
Figure S061B3739920061103D000031
The sort of value of statistical indicant grouping situation of the value minimum of (average variance between group); Wherein n is the group number of requirement of experiment, Be every group value of statistical indicant average,
Figure S061B3739920061103D000033
Value of statistical indicant average for all samples;
3) according to
Figure S061B3739920061103D000034
The sort of value of statistical indicant grouping situation of value minimum laboratory animal is divided into groups.
The method of this laboratory animal grouping can be used for the drug toxicity research experiment, and drug metabolism research experiment, medicine effect are learned the animal grouping in the research experiment.
Described sign is for the title that illustrates that individual feature in one aspect adopts, as body weight.Its sign performance available numeric representation, i.e. value of statistical indicant.As body weight is 300 grams.
Described sign can be selected from any one in body weight, blood pressure and the body surface area etc.
The present invention according to
Figure S061B3739920061103D000035
The minimum method of value averages grouping to zoopery, makes the group difference minimum of value of statistical indicant, could guarantee the collimation of data between matched group and the different experiments group like this, and is also minimum to the influence of experimental result.
Description of drawings
Fig. 1 is a main flow chart of obtaining the calculation procedure of the sort of value of statistical indicant grouping situation of mean square difference minimum between group
The specific embodiment
The present invention utilizes the Monte Carlo principle, uses computer program, by COMPUTER CALCULATION, tries to achieve optimum animal grouping (promptly The sort of value of statistical indicant grouping situation that value is minimum), it is more excellent to reach grouping, guarantees that group difference is littler.
Wherein, the Monte Carlo principle is exemplified below:
The value of statistical indicant of 200 mices is divided into 4 groups at random, calculates the meansigma methods of every group mark value, try to achieve average variance between the group of value of statistical indicant.Random packet is 10E+6 time like this, tries to achieve average variance between each group, gets the random sample of average variance minimum between group and divides into groups as animal.
200 animals are divided into four groups sample size at random: C;
The probability that optimum grouping occurs is 1/C, i.e. 0.000...0001;
The probability that optimum grouping does not have to occur is 1-1/C, i.e. 0.999...999;
The probability that random packet 10E+6 time, optimum grouping once do not have to occur yet is the 10E+6 power of (1-1/C), and this value levels off to zero;
The probability that optimum grouping drops on random packet 10E+6 sample size levels off to 1;
Obtain optimum grouping in the random packet 10E+6 sample size, promptly
Figure S061B3739920061103D000041
The sort of value of statistical indicant grouping situation that value is minimum.
Obtain The main flow chart of the calculation procedure of the sort of value of statistical indicant grouping situation that value is minimum is as shown in Figure 1:
Program begins to get access to animal information to be divided into groups (as numbering, body weight) and group number that will divide and every group size of animal.
Initialization one number is as keeping variance yields then, and this number will guarantee to find than average variance between the little group of this number more greatly; And a repetition factor is set, and to start from scratch, in fact this is exactly a cycle counter.
Then all animal values of statistical indicant are carried out random packet according to the packet mode that gets access to previously, calculate average variance between new group.
Judge that whether average variance is less than keeping variance yields between new group, if less than keeping variance yields, just replace the reservation variance yields with average variance between new group, enter next step then: repetition factor is from adding 1.If average variance is not less than the reservation variance yields between new group, just directly enter next step: repetition factor is from adding 1.
Repetition factor is from adding 1, check whether repetition factor has arrived the number of times that needs, being divided into four groups at random as 200 animals need circulate 10E+6 time, to just the grouping information of last reservation being exported out, just be less than and carry out the random packet of front again, average variance between calculating group again judges that whether average variance up to repetition factor has reached the number of times that need less than keeping variance yields between new group.
Experimental technique among the following embodiment if no special instructions, is conventional method.
Be example only below, animal group technology of the present invention be described with the body weight, the animal group technology of other sign with the body weight be the sign identical.
1,220 rats of embodiment are divided into four groups, 50 every group
1,220 rats raising are measured body weight, the result is as shown in table 1:
The body weight of table 1,220 rats
Body weight (g) Numbering Body weight (g) Numbering Body weight (g) Numbering Body weight (g) Numbering
280.12 1001 295.36 1056 310.52 1111 285.89 1166
281.12 1002 296.36 1057 311.52 1112 286.89 1167
282.12 1003 297.36 1058 312.52 1113 287.89 1168
283.12 1004 298.36 1059 313.52 1114 288.89 1169
284.12 1005 299.36 1060 314.52 1115 289.89 1170
285.12 1006 300.36 1061 315.52 1116 290.89 1171
286.12 1007 301.36 1062 316.52 1117 291.89 1172
287.12 1008 302.36 1063 317.52 1118 292.89 1173
288.12 1009 303.36 1064 318.52 1119 293.89 1174
289.12 1010 304.36 1065 319.52 1120 294.89 1175
290.12 1011 305.36 1066 280.46 1121 295.89 1176
291.12 1012 306.36 1067 281.46 1122 296.89 1177
292.12 1013 307.36 1068 282.46 1123 297.89 1178
293.12 1014 308.36 1069 283.46 1124 298.89 1179
294.12 1015 309.36 1070 284.46 1125 299.89 1180
295.12 1016 310.36 1071 285.46 1126 300.89 1181
283.12 1004 298.36 1059 313.52 1114 288.89 1169
296.12 1017 311.36 1072 286.46 1127 301.89 1182
297.12 1018 312.36 1073 287.46 1128 302.89 1183
298.12 1019 313.36 1074 288.46 1129 303.89 1184
299.12 1020 314.36 1075 289.46 1130 304.89 1185
300.12 1021 315.36 1076 290.46 1131 305.89 1186
301.12 1022 316.36 1077 291.46 1132 306.89 1187
302.12 1023 317.36 1078 292.46 1133 307.89 1188
303.12 1024 318.36 1079 293.46 1134 308.89 1189
304.12 1025 319.36 1080 294.46 1135 309.89 1190
305.12 1026 280.52 1081 295.46 1136 310.89 1191
306.12 1027 281.52 1082 296.46 1137 311.89 1192
307.12 1028 282.52 1083 297.46 1138 312.89 1193
308.12 1029 283.52 1084 298.46 1139 313.89 1194
309.12 1030 284.52 1085 299.46 1140 314.89 1195
310.12 1031 285.52 1086 300.46 1141 315.89 1196
311.12 1032 286.52 1087 301.46 1142 316.89 1197
312.12 1033 287.52 1088 302.46 1143 317.89 1198
313.12 1034 288.52 1089 303.46 1144 318.89 1199
314.12 1035 289.52 1090 304.46 1145 319.89 1200
315.12 1036 290.52 1091 305.46 1146 296.11 1201
316.12 1037 291.52 1092 306.46 1147 297.11 1202
317.12 1038 292.52 1093 307.46 1148 298.11 1203
283.12 1004 298.36 1059 313.52 1114 288.89 1169
318.12 1039 293.52 1094 308.46 1149 299.11 1204
319.12 1040 294.52 1095 309.46 1150 300.11 1205
280.36 1041 295.52 1096 310.46 1151 301.11 1206
281.36 1042 296.52 1097 311.46 1152 302.11 1207
282.36 1043 297.52 1098 312.46 1153 303.11 1208
283.36 1044 298.52 1099 313.46 1154 304.11 1209
284.36 1045 299.52 1100 314.46 1155 305.11 1210
285.36 1046 300.52 1101 315.46 1156 306.11 1211
286.36 1047 301.52 1102 316.46 1157 307.11 1212
287.36 1048 302.52 1103 317.46 1158 308.11 1213
288.36 1049 303.52 1104 318.46 1159 309.11 1214
289.36 1050 304.52 1105 319.46 1160 310.11 1215
290.36 1051 305.52 1106 280.89 1161 311.11 1216
291.36 1052 306.52 1107 281.89 1162 312.11 1217
292.36 1053 307.52 1108 282.89 1163 313.11 1218
293.36 1054 308.52 1109 283.89 1164 314.11 1219
294.36 1055 309.52 1110 284.89 1165 315.11 1220
2, according to the weight of animals, with population mean be foundation apart from distance, leave out the beginning and the end, remove body weight the higher person and junior, take out 200;
3, use random sampling method and method of the present invention to divide into groups respectively, be divided into four groups, 50 every group, calculate every group weight average value, sample the weight average value,
Figure S061B3739920061103D000061
Value.
Use the group result of random sampling method as shown in table 2, average variance between its group
Figure S061B3739920061103D000062
Be 1.553783.
According to method of the present invention, with the body weight value of 200 rats, the input computer draws by aforementioned calculation machine program The sort of body weight value grouping situation of value minimum, according to this body weight value grouping situation 200 rats divide into groupss, the result is as shown in table 3, average variance between it is organized Be 3.99E-05.Illustrate that method of the present invention compares with random sampling method, its variance is much smaller, and is also minimum to the influence of experimental result.
N=4 wherein,
Figure S061B3739920061103D000065
Be every group weight average number, Weight average number for population sample.
The random packet of table 2.200 rat
First group Second group The 3rd group The 4th group
Numbering Body weight (g) Numbering Body weight (g) Numbering Body weight (g) Numbering Body weight (g)
1032 311.12 1214 309.11 1051 290.36 1017 296.12
1069 308.36 1117 316.52 1099 298.52 1022 301.12
1206 301.11 1059 298.36 1213 308.11 1034 313.12
1194 313.89 1142 301.46 1182 301.89 1124 283.46
1108 307.52 1131 290.46 1050 289.36 1013 292.12
1102 301.52 1217 312.11 1077 316.36 1075 314.36
1071 310.36 1177 296.89 1205 300.11 1141 300.46
1003 282.12 1025 304.12 1012 291.12 1193 312.89
1186 305.89 1106 305.52 1174 293.89 1127 286.46
1146 305.46 1030 309.12 1076 315.36 1073 312.36
1138 297.46 1183 302.89 1191 310.89 1083 282.52
1168 287.89 1090 289.52 1155 314.46 1014 293.12
1196 315.89 1029 308.12 1047 286.36 1166 285.89
1007 286.12 1094 293.52 1126 285.46 1136 295.46
1069 308.36 1117 316.52 1099 298.52 1022 301.12
1016 295.12 1046 285.36 1074 313.36 1008 287.12
1144 303.46 1189 308.89 1095 294.52 1060 299.36
1172 291.89 1151 310.46 1137 296.46 1123 282.46
1103 302.52 1088 287.52 1043 282.36 1158 317.46
1015 294.12 1078 317.36 1207 302.11 1209 304.11
1097 296.52 1068 307.36 1033 312.12 1116 315.52
1152 311.46 1006 285.12 1056 295.36 1153 312.46
1105 304.52 1011 290.12 1045 284.36 1020 299.12
1208 303.11 1100 299.52 1107 306.52 1054 293.36
1140 299.46 1210 305.11 1179 298.89 1173 292.89
1110 309.52 1066 305.36 1084 283.52 1216 311.11
1188 307.89 1148 307.46 1171 290.89 1089 288.52
1091 290.52 1162 281.89 1220 315.11 1052 291.36
1195 314.89 1215 310.11 1093 292.52 1176 295.89
1167 286.89 1092 291.52 1219 314.11 1118 317.52
1218 313.11 1024 303.12 1004 283.12 1037 316.12
1009 288.12 1031 310.12 1164 283.89 1028 307.12
1096 295.52 1067 306.36 1192 311.89 1170 289.89
1058 297.36 1202 297.11 1204 299.11 1057 296.36
1026 305.12 1109 308.52 1005 284.12 1021 300.12
1128 287.46 1048 287.36 1027 306.12 1062 301.36
1049 288.36 1019 298.12 1087 286.52 1203 298.11
1069 308.36 1117 316.52 1099 298.52 1022 301.12
1055 294.36 1023 302.12 1178 297.89 1070 309.36
1154 313.46 1180 299.89 1086 285.52 1185 304.89
1035 314.12 1190 309.89 1211 306.11 1145 304.46
1163 282.89 1085 284.52 1149 308.46 1184 303.89
1133 292.46 1072 311.36 1063 302.36 1104 303.52
1143 302.46 1114 313.52 1112 311.52 1156 315.46
1125 284.46 1115 314.52 1101 300.52 1139 298.46
1201 296.11 1129 288.46 1165 284.89 1181 300.89
1111 310.52 1113 312.52 1010 289.12 1169 288.89
1036 315.12 1132 291.46 1157 316.46 1061 300.36
1064 303.36 1098 297.52 1130 289.46 1212 307.11
1197 316.89 1044 283.36 1135 294.46 1038 317.12
1150 309.46 1065 304.36 1134 293.46 1018 297.12
1187 306.89 1147 306.46 1053 292.36 1175 294.89
This class mean 301.2842 This class mean 301.231 This class mean 298.2364 This class mean 300.6644
Sample mean is: 300.354 Average variance is between group: 1.553783
Table 3,200 rats divide into groups according to method of the present invention
First group Second group The 3rd group The 4th group
Numbering Body weight (g) Numbering Body weight (g) Numbering Body weight (g) Numbering Body weight (g)
1024 303.12 1217 312.11 1170 289.89 1202 297.11
First group Second group The 3rd group The 4th group
1021 300.12 1183 302.89 1130 289.46 1053 292.36
1006 285.12 1192 311.89 1166 285.89 1169 288.89
1176 295.89 1129 288.46 1049 288.36 1164 283.89
1057 296.36 1007 286.12 1047 286.36 1069 308.36
1003 282.12 1205 300.11 1055 294.36 1210 305.11
1105 304.52 1123 282.46 1132 291.46 1075 314.36
1004 283.12 1182 301.89 1092 291.52 1013 292.12
1140 299.46 1168 287.89 1077 316.36 1091 290.52
1064 303.36 1048 287.36 1118 317.52 1193 312.89
1005 284.12 1186 305.89 1167 286.89 1052 291.36
1037 316.12 1219 314.11 1145 304.46 1050 289.36
1115 314.52 1009 288.12 1076 315.36 1027 306.12
1035 314.12 1154 313.46 1215 310.11 1090 289.52
1094 293.52 1088 287.52 1028 307.12 1065 304.36
1204 299.11 1016 295.12 1151 310.46 1134 293.46
1101 300.52 1098 297.52 1128 287.46 1188 307.89
1125 284.46 1191 310.89 1046 285.36 1074 313.36
1114 313.52 1083 282.52 1051 290.36 1190 309.89
1102 301.52 1043 282.36 1144 303.46 1179 298.89
1058 297.36 1196 315.89 1063 302.36 1112 311.52
1010 289.12 1109 308.52 1108 307.52 1187 306.89
1029 308.12 1060 299.36 1044 283.36 1054 293.36
First group Second group The 3rd group The 4th group
1073 312.36 1207 302.11 1131 290.46 1148 307.46
1177 296.89 1178 297.89 1218 313.11 1213 308.11
1019 298.12 1025 304.12 1149 308.46 1008 287.12
1174 293.89 1150 309.46 1011 290.12 1099 298.52
1143 302.46 1220 315.11 1012 291.12 1214 309.11
1138 297.46 1084 283.52 1175 294.89 1036 315.12
1152 311.46 1106 305.52 1015 294.12 1093 292.52
1038 317.12 1197 316.89 1100 299.52 1068 307.36
1104 303.52 1184 303.89 1208 303.11 1147 306.46
1181 300.89 1185 304.89 1195 314.89 1095 294.52
1172 291.89 1124 283.46 1110 309.52 1086 285.52
1032 311.12 1212 307.11 1216 311.11 1156 315.46
1206 301.11 1157 316.46 1111 310.52 1153 312.46
1031 310.12 1158 317.46 1194 313.89 1146 305.46
1097 296.52 1163 282.89 1201 296.11 1089 288.52
1085 284.52 1136 295.46 1133 292.46 1070 309.36
1017 296.12 1026 305.12 1117 316.52 1103 302.52
1137 296.46 1014 293.12 1033 312.12 1059 298.36
1142 301.46 1135 294.46 1113 312.52 1209 304.11
1171 290.89 1023 302.12 1022 301.12 1141 300.46
1116 315.52 1034 313.12 1203 298.11 1139 298.46
1062 301.36 1018 297.12 1020 299.12 1162 281.89
1038 317.12 1197 316.89 1100 299.52 1068 307.36
1061 300.36 1071 310.36 1127 286.46 1173 292.89
1189 308.89 1045 284.36 1072 311.36 1155 314.46
1107 306.52 1126 285.46 1030 309.12 1165 284.89
1211 306.11 1078 317.36 1066 305.36 1056 295.36
1096 295.52 1067 306.36 1087 286.52 1180 299.89
This class mean 300.3596 This class mean 300.3532 This class mean 300.3439 This class mean 300.3592
Sample mean is: 300.354 Average variance is between group: 3.99E-05
Embodiment 2, get 150 from 170 animals, be divided into three groups, each treated animal number is respectively: 40,50,60
1,170 rats raising are measured body weight, the result is as shown in table 4:
The body weight of table 4,170 rats
Body weight (g) Numbering Body weight (g) Numbering Body weight (g) Numbering Body weight (g) Numbering
280.14 L001 303.37 L044 312.95 L087 292.26 L129
281.14 L002 304.37 L045 313.95 L088 293.26 L130
282.14 L003 305.37 L046 314.95 L089 294.26 L131
283.14 L004 306.37 L047 315.95 L090 295.26 L132
284.14 L005 307.37 L048 292.23 L091 296.26 L133
285.14 L006 308.37 L049 293.23 L092 297.26 L134
286.14 L007 309.37 L050 294.23 L093 298.26 L135
287.14 L008 310.37 L051 295.23 L094 299.26 L136
288.14 L009 311.37 L052 296.23 L095 300.26 L137
289.14 L010 312.37 L053 297.23 L096 301.26 L138
290.14 L011 313.37 L054 298.23 L097 302.26 L139
291.14 L012 314.37 L055 299.23 L098 303.26 L140
292.14 L013 315.37 L056 300.23 L099 304.26 L141
293.14 L014 316.37 L057 301.23 L100 305.26 L142
294.14 L015 317.37 L058 302.23 L101 306.26 L143
295.14 L016 318.37 L059 303.23 L102 307.26 L144
296.14 L017 319.37 L060 304.23 L103 308.26 L145
297.14 L018 286.95 L061 305.23 L104 309.26 L146
298.14 L019 287.95 L062 306.23 L105 310.26 L147
299.14 L020 288.95 L063 307.23 L106 311.26 L148
300.14 L021 289.95 L064 308.23 L107 312.26 L149
301.14 L022 290.95 L065 309.23 L108 313.26 L150
302.14 L023 291.95 L066 310.23 L109 291.26 L151
303.14 L024 292.95 L067 311.23 L110 292.26 L152
304.14 L025 293.95 L068 312.23 L111 293.26 L153
305.14 L026 294.95 L069 313.23 L112 294.26 L154
306.14 L027 295.95 L070 314.23 L113 295.26 L155
307.14 L028 296.95 L071 315.23 L114 296.26 L156
308.14 L029 297.95 L072 316.23 L115 297.26 L157
309.14 L030 298.95 L073 317.23 L116 298.26 L158
290.37 L031 299.95 L074 318.23 L117 299.26 L159
291.37 L032 300.95 L075 319.23 L118 300.26 L160
292.37 L033 301.95 L076 320.23 L119 301.26 L161
293.37 L034 302.95 L077 321.23 L120 302.26 L162
291.14 L012 314.37 L055 299.23 L098 303.26 L140
294.37 L035 303.95 L078 284.26 L121 303.26 L163
295.37 L036 304.95 L079 285.26 L122 304.26 L164
296.37 L037 305.95 L080 286.26 L123 305.26 L165
297.37 L038 306.95 L081 287.26 L124 306.26 L166
298.37 L039 307.95 L082 288.26 L125 307.26 L167
299.37 L040 308.95 L083 289.26 L126 308.26 L168
300.37 L041 309.95 L084 290.26 L127 309.26 L169
301.37 L042 310.95 L085 291.26 L128 310.26 L170
302.37 L043 311.95 L086
2, according to the weight of animals, remove body weight the higher person and junior, take out 150;
3, use random sampling method and method of the present invention to divide into groups respectively, be divided into three groups, each treated animal number is respectively: 40,50,60.Calculate every group weight average value, sample the weight average value,
Figure S061B3739920061103D000101
Value.
Use the group result of random sampling method as shown in table 5, average variance between its group Be 1.44746.
According to method of the present invention, the body weight value input computer with 150 rats draws by aforementioned calculation machine program
Figure S061B3739920061103D000112
The sort of body weight value grouping situation of value minimum, according to this body weight value grouping situation 150 rats divide into groupss, the result is as shown in table 6, average variance between it is organized Be 8.91E-03.Illustrate that method of the present invention compares with random sampling method, its variance is much smaller, and is also minimum to the influence of experimental result.
N=3 wherein,
Figure S061B3739920061103D000114
Be every group weight average number,
Figure S061B3739920061103D000115
Weight average number for population sample.
The random packet of table 5,150 rats
First group Second group The 3rd group
Numbering Body weight (g) Numbering Body weight (g) Numbering Body weight (g)
First group Second group The 3rd group
1109 308.52 1060 299.36 1044 283.36
1065 304.36 1129 288.46 1141 300.46
1003 282.12 1128 287.46 1057 296.36
1026 305.12 1117 316.52 1136 295.46
1126 285.46 1059 298.36 1143 302.46
1030 309.12 1114 313.52 1013 292.12
1043 282.36 1069 308.36 1019 298.12
1086 285.52 1032 311.12 1061 300.36
1124 283.46 1070 309.36 1056 295.36
1090 289.52 1116 315.52 1027 306.12
1022 301.12 1062 301.36 1055 294.36
1111 310.52 1150 309.46 1104 303.52
1163 282.89 1095 294.52 1029 308.12
1084 283.52 1135 294.46 1113 312.52
1089 288.52 1125 284.46 1053 292.36
1144 303.46 1147 306.46 1098 297.52
1021 300.12 1133 292.46 1085 284.52
1047 286.36 1036 315.12 1015 294.12
1048 287.36 1051 290.36 1093 292.52
1028 307.12 1035 314.12 1006 285.12
1075 314.36 1132 291.46 1142 301.46
1011 290.12 1149 308.46 1018 297.12
First group Second group The 3rd group
1016 295.12 1106 305.52 1005 284.12
1169 288.89 1099 298.52 1105 304.52
1148 307.46 1138 297.46 1101 300.52
1145 304.46 1025 304.12 1137 296.46
1033 312.12 1063 302.36 1009 288.12
1074 313.36 1162 281.89 1151 310.46
1067 306.36 1010 289.12 1154 313.46
1058 297.36 1164 283.89 1034 313.12
1155 314.46 1008 287.12 1167 286.89
1077 316.36 1072 311.36 1123 282.46
1076 315.36 1088 287.52 1007 286.12
1100 299.52 1052 291.36 1091 290.52
1020 299.12 1110 309.52 1153 312.46
1108 307.52 1066 305.36 1127 286.46
1023 302.12 1140 299.46 1134 293.46
1064 303.36 1146 305.46 1083 282.52
1139 298.46 1170 289.89 1014 293.12
1046 285.36 1157 316.46 1096 295.52
1012 291.12 1092 291.52
1165 284.89 1107 306.52
1145 304.46 1025 304.12 1137 296.46
1073 312.36 1071 310.36
1038 317.12 1102 301.52
1068 307.36 1087 286.52
1112 311.52 1094 293.52
1024 303.12 1115 314.52
1050 289.36 1131 290.46
1045 284.36 1152 311.46
1004 283.12 1156 315.46
1037 316.12
1017 296.12
1168 287.89
1166 285.89
1054 293.36
1097 296.52
1031 310.12
1103 302.52
1130 289.46
1049 288.36
1145 304.46 1025 304.12 1137 296.46
This class mean 298.645 This class mean 300.0292 This class mean 297.0661
Sample mean is: 298.5792 Average variance is between group: 1.44746
Table 6,150 rats divide into groups according to method of the present invention
First group Second group The 3rd group
Numbering Body weight (g) Numbering Body weight (g) Numbering Body weight (g)
1111 310.52 1046 285.36 1011 290.12
1125 284.46 1140 299.46 1059 298.36
1005 284.12 1003 282.12 1095 294.52
1053 292.36 1090 289.52 1117 316.52
1048 287.36 1034 313.12 1154 313.46
1129 288.46 1163 282.89 1153 312.46
1109 308.52 1063 302.36 1162 281.89
1057 296.36 1087 286.52 1047 286.36
1052 291.36 1131 290.46 1148 307.46
1028 307.12 1020 299.12 1116 315.52
1017 296.12 1134 293.46 1141 300.46
1064 303.36 1093 292.52 1136 295.46
1067 306.36 1032 311.12 1164 283.89
1058 297.36 1155 314.46 1025 304.12
1049 288.36 1096 295.52 1128 287.46
1094 293.52 1075 314.36 1149 308.46
Numbering Body weight (g) Numbering Body weight (g) Numbering Body weight (g)
1147 306.46 1169 288.89 1157 316.46
1110 309.52 1007 286.12 1123 282.46
1013 292.12 1033 312.12 1012 291.12
1097 296.52 1015 294.12 1144 303.46
1145 304.46 1104 303.52 1074 313.36
1115 314.52 1023 302.12 1170 289.89
1152 311.46 1107 306.52 1008 287.12
1100 299.52 1056 295.36 1006 285.12
1010 289.12 1077 316.36 1103 302.52
1036 315.12 1035 314.12 1146 305.46
1031 310.12 1142 301.46 1044 283.36
1030 309.12 1072 311.36 1069 308.36
1130 289.46 1114 313.52 1139 298.46
1091 290.52 1124 283.46 1070 309.36
1126 285.46 1071 310.36 1165 284.89
1027 306.12 1018 297.12 1004 283.12
1167 286.89 1098 297.52 1024 303.12
1054 293.36 1038 317.12 1060 299.36
1009 288.12 1108 307.52 1102 301.52
1022 301.12 1083 282.52 1073 312.36
1133 292.46 1061 300.36 1156 315.46
1138 297.46 1112 311.52 1051 290.36
Numbering Body weight (g) Numbering Body weight (g) Numbering Body weight (g)
1037 316.12 1099 298.52 1076 315.36
1066 305.36 1089 288.52 1068 307.36
1106 305.52 1045 284.36
1021 300.12 1026 305.12
1168 287.89 1092 291.52
1062 301.36 1055 294.36
1043 282.36 1019 298.12
1143 302.46 1014 293.12
1105 304.52 1135 294.46
1084 283.52 1016 295.12
1166 285.89 1086 285.52
1088 287.52 1151 310.46
1085 284.52
1150 309.46
1101 300.52
1065 304.36
1132 291.46
1029 308.12
1137 296.46
1127 286.46
1050 289.36
1113 312.52
1168 287.89 1092 291.52
This class mean 298.6557 This class mean 298.6731 This class mean 298.689
Sample mean is: 298.5792 Average variance is between group: 8.91E-03
Embodiment 3, get 100 from 120 rats, be divided into six groups, each treated animal number is respectively: 15,15,15,25, and 10,20
1,120 rats raising are measured body weight, the result is as shown in table 7:
The body weight of table 7,120 rats
Body weight (g) Numbering Body weight (g) Numbering Body weight (g) Numbering Body weight (g) Numbering
286.35 1001 281.11 1031 289.34 1061 286.87 1091
287.35 1002 282.11 1032 290.34 1062 287.87 1092
288.35 1003 283.11 1033 291.34 1063 288.87 1093
289.35 1004 284.11 1034 292.34 1064 289.87 1094
290.35 1005 285.11 1035 293.34 1065 290.87 1095
291.35 1006 286.11 1036 294.34 1066 291.87 1096
292.35 1007 287.11 1037 295.34 1067 292.87 1097
293.35 1008 288.11 1038 296.34 1068 293.87 1098
294.35 1009 289.11 1039 297.34 1069 294.87 1099
295.35 1010 290.11 1040 298.34 1070 295.87 1100
296.35 1011 291.11 1041 299.34 1071 296.87 1101
297.35 1012 292.11 1042 300.34 1072 297.87 1102
298.35 1013 293.11 1043 301.34 1073 298.87 1103
299.35 1014 294.11 1044 302.34 1074 299.87 1104
298.35 1013 293.11 1043 301.34 1073 298.87 1103
300.35 1015 295.11 1045 303.34 1075 300.87 1105
301.35 1016 296.11 1046 304.34 1076 301.87 1106
302.35 1017 297.11 1047 305.34 1077 302.87 1107
303.35 1018 298.11 1048 306.34 1078 303.87 1108
304.35 1019 299.11 1049 307.34 1079 304.87 1109
305.35 1020 300.11 1050 308.34 1080 305.87 1110
306.35 1021 301.11 1051 309.34 1081 306.87 1111
307.35 1022 302.11 1052 310.34 1082 307.87 1112
308.35 1023 303.11 1053 311.34 1083 308.87 1113
309.35 1024 304.11 1054 312.34 1084 309.87 1114
310.35 1025 305.11 1055 313.34 1085 310.87 1115
311.35 1026 306.11 1056 314.34 1086 311.87 1116
312.35 1027 307.11 1057 315.34 1087 312.87 1117
313.35 1028 308.11 1058 316.34 1088 313.87 1118
314.35 1029 309.11 1059 317.34 1089 314.87 1119
315.35 1030 310.11 1060 318.34 1090 315.87 1120
2, according to the weight of animals, remove body weight the higher person and junior, take out 100;
3, use random sampling method and method of the present invention to divide into groups respectively, be divided into six groups, each treated animal number is respectively: 15,15,15,25, and 10,20.Calculate every group weight average value, sample the weight average value,
Figure S061B3739920061103D000151
Value.
Use the group result of random sampling method as shown in table 8, average variance between its group
Figure S061B3739920061103D000152
Be 12.2231.
According to method of the present invention, with the body weight value of 100 rats, the input computer draws by aforementioned calculation machine program The sort of body weight value grouping situation of value minimum, according to this body weight value grouping situation 100 rats divide into groupss, the result is as shown in table 9, average variance between it is organized
Figure S061B3739920061103D000154
Be 0.038121.Illustrate that method of the present invention compares with random sampling method, its variance is much smaller, and is also minimum to the influence of experimental result.
N=6 wherein, Be every group weight average number,
Figure S061B3739920061103D000156
Weight average number for population sample.
The random packet of table 8,100 rats
First group Second group The 3rd group The 4th group The 5th group The 6th group
Numbering Body weight (g) Numbering Body weight (g) Numbering Body weight (g) Numbering Body weight (g) Numbering Body weight (g) Numbering Body weight (g)
1089 288.52 1032 311.12 1096 295.52 1013 292.12 1061 300.36 1051 290.36
1086 285.52 1101 300.52 1111 310.52 1085 284.52 1094 293.52 1106 305.52
1072 311.36 1110 309.52 1102 301.52 1088 287.52 1028 307.12 1004 283.12
1052 291.36 1023 302.12 1115 314.52 1035 314.12 1007 286.12 1044 283.36
1046 285.36 1104 303.52 1114 313.52 1108 307.52 1022 301.12 1092 291.52
1076 315.36 1011 290.12 1107 306.52 1029 308.12 1090 289.52 1070 309.36
1009 288.12 1033 312.12 1099 298.52 1071 310.36 1018 297.12 1054 293.36
1055 294.36 1109 308.52 1063 302.36 1098 297.52 1010 289.12 1027 306.12
1005 284.12 1066 305.36 1021 300.12 1020 299.12 1049 288.36 1012 291.12
1084 283.52 1037 316.12 1091 290.52 1014 293.12 1068 307.36 1053 292.36
1067 306.36 1048 287.36 1112 311.52 1057 296.36 1075 314.36
1059 298.36 1019 298.12 1030 309.12 1062 301.36 1069 308.36
1074 313.36 1034 313.12 1036 315.12 1116 315.52 1103 302.52
1097 296.52 1016 295.12 1073 312.36 1087 286.52 1025 304.12
1064 303.36 1058 297.36 1017 296.12 1100 299.52 1024 303.12
1006 285.12 1026 305.12
1031 310.12 1056 295.36
1095 294.52 1065 304.36
First group Second group The 3rd group The 4th group The 5th group The 6th group
1093 292.52 1008 287.12
1060 299.36 1047 286.36
1045 284.36
1113 312.52
1050 289.36
1105 304.52
1015 294.12
This class mean 296.2199 This class mean 303.1906 This class mean 305.0413 This class mean 298.2429 This class mean 295.8213 This class mean 297.6993
Sample mean is: 299.3692 Average variance is between group: 12.2231
Table 9,100 rats divide into groups according to method of the present invention
First group Second group The 3rd group The 4th group The 5th group The 6th group
Numbering Body weight (g) Numbering Body weight (g) Numbering Body weight (g) Numbering Body weight (g) Numbering Body weight (g) Numbering Body weight (g)
1014 293.12 1037 316.12 1046 285.36 1013 292.12 1100 299.52 1101 300.52
1072 311.36 1055 294.36 1015 294.12 1010 289.12 1096 295.52 1018 297.12
1017 296.12 1088 287.52 1005 284.12 1074 313.36 1050 289.36 1087 286.52
1111 310.52 1066 305.36 1060 299.36 1048 287.36 1029 308.12 1035 314.12
1054 293.36 1068 307.36 1024 303.12 1094 293.52 1107 306.52 1086 285.52
1116 315.52 1019 298.12 1049 288.36 1103 302.52 1097 296.52 1031 310.12
1012 291.12 1025 304.12 1114 313.52 1061 300.36 1093 292.52 1034 313.12
1009 288.12 1105 304.52 1091 290.52 1106 305.52 1053 292.36 1089 288.52
1064 303.36 1102 301.52 1036 315.12 1023 302.12 1112 311.52 1011 290.12
1116 315.52 1019 298.12 1049 288.36 1103 302.52 1097 296.52 1031 310.12
1008 287.12 1099 298.52 1113 312.52 1085 284.52 1065 304.36 1020 299.12
1110 309.52 1063 302.36 1044 283.36 1109 308.52 1071 310.36
1007 286.12 1062 301.36 1028 307.12 1004 283.12 1021 300.12
1006 285.12 1045 284.36 1092 291.52 1057 296.36 1052 291.36
1070 309.36 1058 297.36 1030 309.12 1115 314.52 1095 294.52
1075 314.36 1090 289.52 1073 312.36 1051 290.36 1067 306.36
1033 312.12 1016 295.12
1059 298.36 1022 301.12
1069 308.36 1032 311.12
1108 307.52 1047 286.36
1084 283.52 1026 305.12
1104 303.52
1076 315.36
1056 295.36
1098 297.52
1027 306.12
This class mean 299.6133 This class mean 299.4986 This class mean 299.3067 This class mean 299.6464 This class mean 299.632 This class mean 299.318
Sample mean is: 299.3692 Average variance is between group: 0.038121

Claims (5)

1. method that laboratory animal is divided into groups may further comprise the steps:
1) measures each individual value of statistical indicant in the animal specimen of waiting to divide into groups;
2) number of individuals of the group number that requires according to zoopery and every group is to 1) in all individual values of statistical indicant divide into groups, find out The sort of value of statistical indicant grouping situation of value minimum; Wherein n is the group number of requirement of experiment,
Figure S061B3739920061103C000012
Be every group value of statistical indicant average,
Figure S061B3739920061103C000013
Value of statistical indicant average for sample;
Figure S061B3739920061103C000014
The sort of value of statistical indicant grouping situation of value minimum laboratory animal is divided into groups.
2. method according to claim 1 is characterized in that: described laboratory animal is used for the drug toxicity research experiment.
3. according to the described method of claim l, it is characterized in that: described laboratory animal is used for the drug metabolism research experiment.
4. method according to claim 1 is characterized in that: described laboratory animal is used for the animal grouping that medicine effect is learned research experiment.
5. according to claim 1,2,3 or 4 described methods, it is characterized in that: described sign is selected from any one in body weight, blood pressure and the body surface area.
CN2006101137399A 2006-10-13 2006-10-13 Experimental animal grouping method Expired - Fee Related CN1935102B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN2006101137399A CN1935102B (en) 2006-10-13 2006-10-13 Experimental animal grouping method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN2006101137399A CN1935102B (en) 2006-10-13 2006-10-13 Experimental animal grouping method

Publications (2)

Publication Number Publication Date
CN1935102A CN1935102A (en) 2007-03-28
CN1935102B true CN1935102B (en) 2010-06-16

Family

ID=37952972

Family Applications (1)

Application Number Title Priority Date Filing Date
CN2006101137399A Expired - Fee Related CN1935102B (en) 2006-10-13 2006-10-13 Experimental animal grouping method

Country Status (1)

Country Link
CN (1) CN1935102B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113782121B (en) * 2021-08-06 2024-03-19 中国中医科学院中医药信息研究所 Random grouping method, device, computer equipment and storage medium

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5438960A (en) * 1992-09-21 1995-08-08 N.V. Nederlandsche Apparatenfabriek Nedap Detection device for selectively distinguishing from each other a number of groups of articles or animals
CN1517009A (en) * 2003-01-10 2004-08-04 格罗瓦克斯有限公司 Method for raising SPE hamster for preparing various biological products

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5438960A (en) * 1992-09-21 1995-08-08 N.V. Nederlandsche Apparatenfabriek Nedap Detection device for selectively distinguishing from each other a number of groups of articles or animals
CN1517009A (en) * 2003-01-10 2004-08-04 格罗瓦克斯有限公司 Method for raising SPE hamster for preparing various biological products

Also Published As

Publication number Publication date
CN1935102A (en) 2007-03-28

Similar Documents

Publication Publication Date Title
Welham et al. Statistical methods in biology: design and analysis of experiments and regression
Val-Arreola et al. Study of the lactation curve in dairy cattle on farms in central Mexico
Lee et al. Estimation and sample size considerations for clustered binary responses
CN1935102B (en) Experimental animal grouping method
Bogoslov et al. Vitality structure of Colchicum bulbocodium subsp. versicolor (Colchicaceae, Liliopsida) populations in the Lower Volga region
Pontes A brief historical overview of the Gaussian curve: from Abraham de Moivre to Johann Carl Friedrich Gauss
Tekındal et al. The Cochran-Armitage test to estimate the sample size for trend of proportions for biological data
Gangnon et al. Cluster detection using Bayes factors from overparameterized cluster models
Finney Was this in your statistics textbook? III. Design and analysis
Chen et al. Antibacterial effects on dry‐fast and traditional water‐based surgical scrubbing methods: A two‐time points experimental study
CN107145713B (en) Data statistical analysis system for differential diagnosis
Katz et al. Variance estimation for medical decision analysis
Omotayo Malaria treatment and farming households’ income poverty in Lagos state, Nigeria
Sytsma The basics of experimental design [A quick and non-technical guide]
Abdelbasit et al. Experimental design for categorized data
Jaggi et al. Planning of Experiments and Basic Experimental Designs
Demétrio et al. Experimentation and Statistics in Tropical Agriculture: Planning Experiments
Sercundes Flexible models for hierarchical and overdispersed data in agriculture
Payandeh et al. Observations on spatial distribution and the relative precision of systematic sampling
Costello et al. PAIN reviews
Manigandan COMPLETELY RANDOMIZED DESIGN IN FUZZY OBSERVATIONS
Stewart Statistical analysis of cohort demographic data
McPherson et al. Comparative Studies, Surveys, and Designed Experiments
Akhavan Masouleh A New Class of Bayesian Semi-Parametric Joint Longitudinal-Survival Models for Biomarker Discovery
Ireland An introduction to research by experimentation.

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20100616

Termination date: 20151013

EXPY Termination of patent right or utility model