Recommendations for statistical designs of in vivo mutagenicity tests with regard to subsequent statistical analysis

被引:18
|
作者
Adler, ID [1 ]
Bootman, J
Favor, J
Hook, G
Schriever-Schwemmer, G
Welzl, G
Whorton, E
Yoshimura, I
Hayashi, M
机构
[1] GSF, Inst Saugetiergenet, D-85758 Neuherberg, Germany
[2] Pharmaco LSR, Eye IP23 7PX, Suffolk, England
[3] NIEHS, Res Triangle Pk, NC 27709 USA
[4] GSF, Inst Med Informat & Sytemforsch, D-85758 Neuherberg, Germany
[5] Univ Texas, Med Branch, Div Epidemiol & Biostat, Galveston, TX 77555 USA
[6] Tokyo Univ Sci, Fac Engn, Shinjuku Ku, Tokyo 162, Japan
[7] Natl Inst Hyg Sci, Div Genet & Mutagenesis, Setagaya Ku, Tokyo 158, Japan
关键词
experimental design; statistical analysis; micronucleus test in mouse bone marrow peripheral blood; chromosomal aberration tests in mouse bone marrow differentiating spermatogonia; mouse dominant lethal test;
D O I
10.1016/S1383-5718(98)00091-6
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
A workshop was held on September 13 and 14, 1993, at the GSF, Neuherberg, Germany, to start a discussion of experimental design and statistical analysis issues for three in vivo mutagenicity test systems, the micronucleus test in mouse bone marrow/peripheral blood, the chromosomal aberration tests in mouse bone marrow/differentiating spermatogonia, and the mouse dominant lethal test. The discussion has now come to conclusions which we would like to make generally known. Rather than dwell upon specific statistical tests which could be used for data analysis, serious consideration was given to test design. However, the test design, its power of detecting a given increase of adverse effects and the test statistics are interrelated. Detailed analyses of historical negative control data led to important recommendations for each test system. Concerning the statistical sensitivity parameters, a type I error of 0.05 tone tailed), a type II error of 0.20 and a dose related increase of twice the background (negative control) frequencies were generally adopted. It was recommended that sufficient observations (cells, implants) be planned for each analysis unit (animal) so that at least one adverse outcome (micronucleus, aberrant cell, dead implant) would likely be observed. The treated animal was the smallest unit of analysis allowed. On the basis of these general consideration the sample size was determined for each of the three assays. A minimum of 2000 immature erythrocytes/animal should be scored for micronuclei from each of at least 4 animals in each comparison group in the micronucleus assays. A minimum of 200 cells should be scored for chromosomal aberrations from each of at least 5 animals in each comparison group in the aberration assays. In the dominant lethal test, a minimum of 400 implants (40-50 pregnant females) are required per dose group for each mating period. The analysis unit for the dominant lethal test would be the treated male unless the background frequency of dead implants (DI) is so low that multiple males would need to be integrated to meet the minimum observation of one adverse outcome (DI) per analysis unit. A three-step strategy of data analysis was proposed for the cytogenetic assays. Use of negative historical controls was allowed in certain circumstances for interpretation of results from micronucleus tests and chromosomal aberration tests. (C) 1998 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:19 / 30
页数:12
相关论文
共 50 条
  • [31] Complex sampling designs and statistical issues in secondary analysis
    Kneipp, SM
    Yarandi, HN
    WESTERN JOURNAL OF NURSING RESEARCH, 2002, 24 (05) : 552 - 566
  • [32] Statistical considerations in the use and analysis of single subject designs
    Reboussin, DM
    Morgan, TM
    MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 1996, 28 (05): : 639 - 644
  • [33] STATISTICAL-ANALYSIS OF SINGLE-SUBJECT DESIGNS
    JANOSKY, JE
    ALSHBOUL, Q
    PHYSICAL THERAPY, 1995, 75 (02): : 157 - 157
  • [34] Comparison of Characterization Methods for Statistical Analysis of SoC Designs
    Kim, Wook
    Hyun, Dai Joon
    Kim, Young Hwan
    Do, Kyung Tae
    ECTI-CON 2008: PROCEEDINGS OF THE 2008 5TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING/ELECTRONICS, COMPUTER, TELECOMMUNICATIONS AND INFORMATION TECHNOLOGY, VOLS 1 AND 2, 2008, : 789 - +
  • [35] STATISTICAL DESIGNS AND PANEL TRAINING EXPERIENCE FOR SENSORY ANALYSIS
    CHAMBERS, E
    BOWERS, JA
    DAYTON, AD
    JOURNAL OF FOOD SCIENCE, 1981, 46 (06) : 1902 - 1906
  • [36] Neutrosophic statistical analysis of split-plot designs
    AlAita, Abdulrahman
    Talebi, Hooshang
    Aslam, Muhammad
    Al Sultan, Khaled
    SOFT COMPUTING, 2023, 27 (12) : 7801 - 7811
  • [37] Neutrosophic statistical analysis of split-plot designs
    Abdulrahman AlAita
    Hooshang Talebi
    Muhammad Aslam
    Khaled Al Sultan
    Soft Computing, 2023, 27 : 7801 - 7811
  • [38] Statistical and cognitive optimization of experimental designs in conjoint analysis
    Huertas-Garcia, Ruben
    Nenez-Carballosa, Ana
    Miravitlles, Paloma
    EUROPEAN JOURNAL OF MANAGEMENT AND BUSINESS ECONOMICS, 2016, 25 (03) : 142 - 149
  • [39] STATISTICAL ANALYSIS OF DETERGENCY TESTS WITH A NATURAL SOIL
    TROWBRIDGE, JR
    JOURNAL OF THE AMERICAN OIL CHEMISTS SOCIETY, 1970, 47 (04) : 112 - +
  • [40] STATISTICAL-ANALYSIS IN SUGAR QUALITY TESTS
    MARKEY, HA
    SUGAR JOURNAL, 1972, 34 (12): : 17 - &