Design and Analysis Issues in Community Trials

Abstract

The National Institutes of Health sponsored a conference on the Design and Analysis Issues in Community Trials on March 23,1992, in Bethesda, MD. This article presents a synopsis of each of the seven presentations given at that conference and summarizes the discussion that followed.

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References

Blackburn, H. , R.V. Luepker , F.G. Kline , N.F. Bracht , R. Carlaw , D. Jacobs , M. Mittelmark , L. Stauffer , and H.L. Taylor. 1984. The Minnesota Heart Health Program: A research and demonstration project in cardiovascular disease prevention . In Behavioral health: A handbook of health enhancement and disease prevention, edited by J. D. Matarazzo , 1171-6. New York: Wiley.

Bryk, A.S. , and S.W. Raudenbush . 1992. Hierarchical linear models in social and behavioral research: Applications and data analysis methods . Newbury Park, CA: Sage.

Cornfield, J. 1978. Randomization by group: A formal analysis. American Journal of Epidemiology 108(2): 100-2.

Donner, A. 1989. Statistical methods in ophthalmology: An adjusted chi-square approach. Biometrics 45:605-11.

Donner, A. , N. Birkett , and C. Buck. 1981. Randomization by cluster: Sample size requirements and analysis. American Journal of Epidemiology 114(6): 906-14.

Donner, A. , K.S. Brown , and P. Brasher. 1990. A methodologic review of non-therapeutic intervention trials employing cluster randomization, 1979-1989 International Journal of Epidemiology 19(4): 795-800.

Donner, A. , and A. Donald. 1988. The statistical analysis of repeated binary measurements. Journal of Clinical Epidemiology 41:899-906.

Donner, A. , and N. Klar. Forthcoming. Cluster randomization trials in epidemiology. Theory and application. Journal of Statistical Planning and Inference.

Dwyer, J.H. 1984. The excluded variable problem in nonrandomized control group designs. Evaluation Review 8:559-72.

10.

Dwyer, J.H. , and M. Feinleib. 1992. Introduction to statistical models for longitudinal studies of health. In Statistical models for longitudinal studies of health, edited by J. H. Dwyer et al. New York: Oxford University.

11.

Dwyer, J.H. , D.P. MacKinnon , M.A. Pentz , B.R. Flay , W.B. Hanson , E.Y.I. Wang , and C.A. Johnson. 1989. Estimating intervention effects in longitudinal studies. American Journal of Epidemiology 130(4): 781-95.

12.

Farquhar, J.W. , S.P. Fortmann , J.A. Flora , B. Taylor , W.L. Haskell , P.T. Williams , N. Maccoby , and P.P. Wood. 1990. Effects of community wide education on cardiovascular disease risk factors. Journal of the American Medical Association 264:359-65.

13.

Feldman, H.A. , and S. M. McKinlay. 1994. Cohort versus cross-sectional design in large field trials: Precision, sample size, and a unifying model . Statistics in Medicine 13:61-78.

14.

Goldstein, H. 1987. Multilevel models in educational and social research . New York: Oxford University Press .

15.

Graubard, B.I. , and E.L. Korn. 1993. Hypothesis testing with complex survey data: The use of classical quadratic test statistics with particular reference to regression problems. Journal of the American Statistical Association 88:629-41.

16.

Hopkins, K.D. 1982. The unit of analysis: Group means versus individual observations . American Education Research Journal 19(1): 5-18.

17.

Hsieh, F.Y. 1988. Sample size formulae for intervention studies with the cluster as unit of randomization. Statistics in Medicine 8:1195-1201.

18.

Jacobs, D.R. , R.V. Luepker , M.B. Mittelmark , A.R. Folsom , P.L. Pirie , S.R. Mascioli , P.J. Hannan , T.F. Pechecek , N.F. Bracht , R.W. Carlaw , F.G. Kline , and H. Blackburn. 1986. Community-wide prevention strategies: Evaluation design of the Minnesota Heart Health Program. Journal of Chronic Disease 39:775-88.

19.

Kish, L. 1965. Survey sampling. New York: Wiley.

20.

Koepsell, T.D. , D.C. Martin , P.H. Diehr , B. Psaty , E.H. Wagner , E.B. Perrin , and A. Cheadle. 1991. Data analysis and sample size issues in evaluations of community based health promotion and disease prevention programs: A mixed model analysis of variance approach. Journal of Clinical Epidemiology 44(7): 701-13.

21.

Korn, E.L. , and B.I. Graubard. 1991. Epidemiologic studies utilizing surveys: Accounting for the sampling design. American Journal of Public Health 81:1166-73.

22.

—. Under review. Analyzing large health surveys: Accounting for the sampling design.

23.

Lasater, T.M. , D.B. Abrams , L. Artz , P. Beaudin , L. Cabrera , J. Elder , A. Ferreiar , P. Knisley , G. Peterson , A. Rodriques , P. Rosenberg , R. Snow , and R. Carlton. 1984. Lay volunteer delivery of community-based cardiovascular risk factor modification programs: The Pawtucket experiment . In Behavioral health: A handbook of health enhancement and disease prevention, edited by J. D. Matarazzo , 1166-70. New York: Wiley.

24.

Liang, K.Y. , and S.L. Zeger. 1986. Longitudinal data analysis using generalized linear models. Biometrika 73(1): 13-22.

25.

Lichtenstein, E. , L. Wallack , and T.F. Pechacek. 1991. Introduction to the community intervention trial for smoking cessation (COMMIT. International Quarterly of Community Health Education 11:173-85.

26.

Martin, D.C. , P. Diehr. , E.B. Perrin , and T.D. Koepsell. 1993. The effects of matching on the power of randomized community intervention studies. Statistics in Medicine 12:329-38.

27.

McDowell, A. , A. Engel, J. T. Massey , and K. Mauer. 1981. Plan and operation of the second national health and nutrition examination survey, 1976-1980. Vital Statistics, Ser. 1, No. 15, Hyattsville, MD: National Center for Health Statistics.

28.

Mickey, R.M. , G.D. Goodwin , and M.C. Costanza. 1991. Estimation of the design effect in community intervention studies. Statistics in Medicine 10:53-64.

29.

Mittelmark, M.B. , R.V. Luepker , D.R. Jacobs , N.F. Bracht , R.W. Carlaw , R.S. Crow , J. Finnegan , R.M. Mullis , D.M. Murray , T.F. Pechacek , C.L. Perry , P.L. Pirie , and H. Blackburn. 1986. Community-wide prevention of cardiovascular disease: Education strategies of the Minnesota Heart Health Program. Preventive Medicine 15:1-17.

30.

Moore, D.F. , and A. Tsiatis. 1991. Robust estimation of the variance in moment methods for extra-binomial and extra-Poisson variation. Biometrics 47:383-401.

31.

Mullis, R.M. , M.K. Hunt , M. Foster , L. Hachfeld , D. Lansing , P. Snyder , and P. Pirie. 1987. Environment support of healthful food behavior: The Shop Smart for Your Heart grocery program. Journal of Nutrition Education 19(5): 225-8.

32.

Murray, D.M. , and P.J. Hannan. 1990. Planning for the appropriate analysis in school-based drug-use prevention studies. Journal of Consulting and Clinical Psychology 58(4): 458-68.

33.

Murray, D.M. , P. J. Hannan, D.R. Jacobs, P.J. McGovern, L. Schmid, W. L. Baker , and C. Gray. 1994. Assessing intervention effects in the Minnesota Heart Health Program. American Journal of Epidemiology 139(1): 91-103..

34.

Murray, D.M. , P.J. Hannan , and D.M. Zucker. 1989. Analysis issues in school-based health promotion studies. Health Education Quarterly 16(2): 315-20.

35.

Murray, D.M. , D.R. Jacobs , C.L. Perry , U. Pallonen , K.C. Harty , G. Griffin , M.E. Moen , and G. Hanson. 1988. A state-wide approach to adolescent tobacco-use prevention: The Minnesota-Wisconsin adolescent tobacco-use research project. Preventive Medicine 17:461-74.

36.

Ochi, Y. , and R.L. Prentice. 1984. Likelihood inference in a correlated probit regression model. Biometrika 71:531-43.

37.

Orleans, C.S. , and R.H. Shipley. 1982. Worksite smoking cessation initiatives: Review and recommendations. Addictive Behaviors 7:1-16.

38.

Pierce, D.A. , and B.R. Sands. 1975. Extra-binomial variation in binary data . Technical report 46, Department of Statistics, Oregon State University.

39.

Puska, P. , A. Nissen , J. Tuomilehto , J. Salonen , K. Koskeka , A. McAlister , T. Kottke , N. Maccoby , and J. Farquhar. 1985. The community-based strategy to prevent coronary heart disease: Conclusions from the ten years of the North Karelia Project. Annual Review of Public Health 6:147-93.

40.

Raffe, D. 1991. Assessing the impact of a decentralized initiative: The British Technical and Vocational Initiative. In Pupils, classrooms, and schools: International studies of schooling from a multilevel perspective , edited by S. W. Raudenbush and J. D. Willms. New York: Academic Press.

41.

Rao, J.N.K. , and A.J. Scott. 1992. A simple method for the analysis of clustered data. Biometrics 48:577-85.

42.

Raudenbush, S.W. 1989. The analysis of longitudinal, multilevel data. International Journal of Education Research 13:721-40.

43.

—. 1992. Hierarchical linear models as generalizations of certain common experimental design models. In Applied analysis of variance in behavioral science, edited by L. Edwards. New York: Marcell Decker.

44.

—. 1993. A crossed random effects model with applications in cross-sectional and longitudinal research. Journal of Educational Statistics 18(4): 321-49.

45.

Rosner, B. , and R.C. Milton. 1988. Significance testing for correlated binary outcome data. Biometrics 44:505-12.

46.

Skinner, C.J. , D. Holt , and T.M.F. Smith. 1989. Analysis of complex surveys. New York: Wiley.

47.

Wagenaar, A.C. 1982. Public policy effects on alcohol consumption in Maine and New Hampshire 1970-1980. Contemporary Drug Problems 11:3-20.

48.

Williams, D.A. 1975. The analysis of binary responses from toxicological experiments involving reproduction and teratogenicity. Biometrics 31:949-52.

49.

Willms, J.D. , and S.W. Raudenbush . 1989. A longitudinal hierarchical linear model for estimating school effects and their stability. Journal of Educational Measurement 26(3): 209-32.

50.

Zucker, D.M. 1990. An analysis of variance pitfall: The fixed effects analysis in a nested design. Educational and Psychological Measurement 50:731-8.