Methods for comparing event rates in intervention studies when the unit of allocation is a cluster

American Journal of Epidemiology

Volumn 140, Issue 3, 1994, Pages 279-289

  Donner, Allan ^a   Klar, Neil ^a  

^a UNIVERSITY OF WESTERN ONTARIO   (Canada)

Author keywords

Correlated binary data; Group randomization; Trials

Indexed keywords

ADOLESCENT; ARTICLE; CHILD; CLINICAL TRIAL; CLUSTER ANALYSIS; CONTINGENCY TABLE; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; CURRICULUM; HUMAN; INTERMETHOD COMPARISON; MAJOR CLINICAL STUDY; MAXIMUM LIKELIHOOD METHOD; RANDOMIZATION; RANDOMIZED CONTROLLED TRIAL; REGRESSION ANALYSIS; SCHOOL; SMOKING CESSATION; VARIANCE;

CHI-SQUARE DISTRIBUTION; CLUSTER ANALYSIS; DATA INTERPRETATION, STATISTICAL; HUMANS; INTERVENTION STUDIES; MODELS, STATISTICAL; RANDOMIZED CONTROLLED TRIALS; RESEARCH DESIGN; SMOKING;

EID: 0028058887     PISSN: 00029262     EISSN: None     Source Type: Journal    
DOI: 10.1093/oxfordjournals.aje.a117247     Document Type: Article

References (33)

1. Gail MH, Byar DP, Pechacek TF, et al. Aspects of statistical design for the community intervention trial for smoking cessation. Controlled Clin Trials 1992;13:6-21.
2. Martin DC, Diehr PH, Perrin EB, et al. The effect of matching on the power of randomized community intervention studies. Stat Med 1993; 12:329-38.
3. Koepsell TD, Martin DC, Diehr PH, et al. Data analysis and sample size issues in evaluations of community-based health promotion and disease prevention programs: a mixed-model analysis of variance approach. J Clin Epidemiol 1991;44. 701-13.
4. Buck C, Donner A. The design of controlled experiments in the evaluation of non-therapeutic interventions. J Chronic Dis 1982;35:531-8.
5. Donner A, Klar N. Cluster randomization trials in epidemiology: theory and application. J Stat Planning Inference (in press).
6. Donner A, Brown KS, Brasher P. A methodological review of non-therapeutic intervention trials employing cluster randomization, 1979-1989. Int J Epidemiol 1990;19:795-800.
7. Donner A. Statistical methodology for paired cluster designs. Am J Epidemiol 1987, 126: 972-9.
8. Murray DM, Perry CL, Griffin G, et al. Results from a statewide approach to adolescent tobacco use prevention. Prev Med 1992;21:449-72.
9. Fleiss JL. Statistical methods for rates and proportions. 2nd ed. New York, NY: John Wiley & Sons, 1981:225.
10. Armitage P, Berry G. Statistical methods in medical research. 2nd ed. Oxford, England Blackwell Scientific Publishers, 1987.
11. Heeren T, D’Agostino R. Robustness of the two independent samples I-test when applied to ordinal data. Stat Med 1987;6:79-90.
12. Conover WJ. Practical nonparametric statistics. 2nd ed. New York, NY: John Wiley & Sons, 1980.
13. StatXact. StatXact: statistical software for exact nonparametric inference, Version 2. Cambridge, Massachusetts: Cytel Software, 1991.
14. Donner A. Statistical methods in ophthalmology, an adjusted chi-square approach. Biometrics 1989;45:605-11.
15. Donner A, Donald A. The statistical analysis of multiple binary measurements. J Chronic Dis 1988;41:899-905.
16. Rosner B, Milton RC. Significance testing for correlated binary outcome data. Biometrics 1988;44:505-12.
17. Cochran WG. Sampling techniques. 3rd ed. New York, NY: John Wiley & Sons, 1977.
18. Rao JNK, Scott AJ. A simple method for the analysis of clustered binary data. Biometrics 1992;48:577-85.
19. Dormer A, Eliasziw M, Klar N. A comparison of methods for testing homogeneity of proportions in teratologic studies. Stat Med (in press).
20. Fung KY, Krewski D, Rao JNK, et al. Tests for trend in developmental toxicity experiments with correlated binary data J Risk Anal (in press).
21. Williams DA. The analysis of binary responses from toxicological experiments involving reproduction and teratogenicity. Biometrics 1975;31:949-52.
22. Pierce DA, Sands BR. Extra-bemoulli variation in regression of binary data. Technical Report No. 46. Department of Statistics. Corvallis, OR: Oregon State University, 1975.
23. Ochi Y, Prentice RL. Likelihood inference in a correlated probit regression model. Biometrika 1984, 71:531-43.
24. Neuhaus JM. Statistical methods for longitudinal and clustered designs with binary responses. Stat Methods Med Res 1992;1:249-73.
25. EGRET. Epidemiological, graphics, estimation and testing package. Seattle, WA: Statistics and Epidemiology Research Corporation, 1990.
26. Pack SE. Hypothesis testing for proportions with overdispersion Biometrics 1986;42.967-72.
27. Shirley EAC, Hickling R. An evaluation of some statistical methods for analysing numbers of abnormalities found amongst litters in teratology studies. Biometrics 1981;37:819-29.
28. Liang KY, Zeger SL. Longitudinal data analysis using generalized linear models. Biometrika 1986;73:13-22.
29. Moore DF, Tsiatis A. Robust estimation of the variance in moment methods for extra-binomial and extra-Poisson variation. Biometrics 1991;47: 383-401.
30. Williams DA. Extra-binomial variation in logistic linear models. Appl Stat 1982;31:144-8.
31. SPIDA. Statistical Package for Interactive Data Analysis. Macquarie University. Australia: The Statistical Laboratory, 1992.
32. Dormer A, Klar N. Confidence interval construction for effect measures arising from cluster randomization trials. J Clin Epidemiol 1993;46. 123-31.
33. Koepsell TD, Eagner EH, Cheadle AC, et al. Selected methodological issues in evaluating community-based health promotion and disease prevention programs Ann Rev Public Health 1992;13:31-57.