Ethics and animal numbers: Informal analyses, uncertain sample sizes, inefficient replications, and type I errors

Journal of the American Association for Laboratory Animal Science

Volumn 50, Issue 4, 2011, Pages 445-453

  Fitts, Douglas A ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL WELFARE; ARTICLE; MEDICAL RESEARCH; POWER ANALYSIS; PRACTICE GUIDELINE; RESEARCH ETHICS; SAMPLE SIZE;

ANIMAL CARE COMMITTEES; ANIMAL EXPERIMENTATION; DATA INTERPRETATION, STATISTICAL; RESEARCH DESIGN; SAMPLE SIZE;

ANIMALIA; VERTEBRATA;

EID: 80755125993     PISSN: 15596109     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (28)

1. Botella J, Ximenez C, Revuelta J, Suero M. 2006. Optimization of sample size in controlled experiments: the CLAST rule. Behav Res Methods 38:65-76. (Pubitemid 44945601)
2. Cohen J. 1988. Statistical power analysis for the behavioral sciences, 2nd ed. Hillsdale (NJ): Erlbaum.
3. Cumming G. 2005. Understanding the average probability of replication: comment on Killeen (2005). Psychol Sci 16:1002-1004. (Pubitemid 43060264)
4. Dell RB, Holleran S, Ramakrishnan R. 2002. Sample size determination. ILAR J 43:207-213.
5. Desbiens NA. 2003. A novel use for the word 'trend' in the clinical trial literature. Am J Med Sci 326:61-65. (Pubitemid 36993110)
6. Erceg-Hurn DM, Mirosevich VM. 2008. Modern robust statistical methods. An easy way to maximize the accuracy and power of your research. Am Psychol 63:591-601.
7. Faul F, Erdfelder E, Lang A-G, Buchner A. 2007. G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods 39:175-191.
8. Festing MFW, Altman DG. 2002. Guidelines for the design and statistical analysis of experiments using laboratory animals. ILAR J 43:244-258.
9. Fitts DA. 2010. Improved stopping rules for the design of efficient small-sample experiments in biomedical and biobehavioral research. Behav Res Methods 42:3-22.
10. Fitts DA. 2010. The variable-criteria sequential stopping rule: generality to unequal sample sizes, unequal variances, or to large ANOVAs. Behav Res Methods 42:918-929. \
11. Fitts DA. 2011. Minimizing animal numbers: the variable-criteria sequential stopping rule. Comp Med 61:206-218.
12. Frick RW. 1996. The appropriate use of null hypothesis testing. Psychol Methods 1:379-390. (Pubitemid 126670697)
13. Frick RW. 1998. A better stopping rule for conventional statistical tests. Behav Res Methods 30:690-697. (Pubitemid 128685526)
14. Gaines Das RE. 2002. The role of ancillary variables in the design, analysis, and interpretation of animal experiments. ILAR J 43:214-222.
15. Goodman SN. 1999. Toward evidence-based medical statistics. 1: the P value fallacy. Ann Intern Med 130:995-1004. (Pubitemid 29283991)
16. Greenwald AG, Gonzalez R, Harris RJ, Guthrie D. 1996. Effect sizes and P values: what should be reported and what should be replicated? Psychophysiology 33:175-183. (Pubitemid 26076327)
17. Howard BR. 2002. The control of variability. ILAR J 43:194-201.
18. Institute for Laboratory Animal Research. 2010. Guide for the care and use of laboratory animals, 8th ed. Washington (DC): National Academies Press.
19. Johnson PD, Besselsen DG. 2002. Practical aspects to experimental design in animal research. ILAR J 43:202-206.
20. Killeen PR. 2005. An alternative to null-hypothesis significance tests. Psychol Sci 16:345-353. (Pubitemid 40763678)
21. Killeen PR. 2006. Beyond statistical inference: a decision theory for science. Psychon Bull Rev 13:549-562. (Pubitemid 44884308)
22. Loftus GR. 1996. Psychology will be a much better science when we change the way we analyze data. Curr Dir Psychol Sci 5:161-171. (Pubitemid 126172528)
23. Maxwell SE, Kelley K, Rausch JR. 2008. Sample size planning for statistical power and accuracy in parameter estimation. Annu Rev Psychol 59:537-563.
24. Meehl PE. 1967. Theory-testing in psychology and physics: a methodological paradox. Philos Sci 34:103-115.
25. Office of Laboratory Animal Welfare. [Internet]. PHS policy on humane care and use of laboratory animals. Frequently asked questions. Question D9: what is considered a significant change to a project that would require IACUC review? [Cited 13 July 2010]. Available at: http://grants.nih.gov/grants/olaw/ faqs.htm#d9.
26. Office of Laboratory Animal Welfare, Applied Research Ethics National Association. 2002. Institutional animal care and use committee guidebook, 2nd ed. Bethesda (MD): Office of Laboratory Animal Welfare.
27. Shaw R, Festing MF, Peers I, Furlong L. 2002. The use of factorial designs to optimize animal experiments and reduce animal use. ILAR J 43:223-232.
28. Ximenez C, Revuelta J. 2007. Extending the CLAST sequential rule to one-way ANOVA under group sampling. Behav Res Methods 39:86-100.