Statistical power and optimal design for multisite randomized trials

Psychological Methods

Volumn 5, Issue 2, 2000, Pages 199-213

  Raudenbush, Stephen W ^a   Liu, Xiaofeng ^b  

^a UNIVERSITY OF MICHIGAN   (United States)

^b NONE

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CLINICAL TRIAL; COMPUTER PROGRAM; CONTROLLED CLINICAL TRIAL; HEALTH CARE ORGANIZATION; HUMAN; MATHEMATICAL COMPUTING; MULTICENTER STUDY; RANDOMIZED CONTROLLED TRIAL; STATISTICAL MODEL; STATISTICS;

HEALTH CARE RATIONING; HUMANS; LINEAR MODELS; MATHEMATICAL COMPUTING; MULTICENTER STUDIES; RANDOMIZED CONTROLLED TRIALS; SOFTWARE;

EID: 0034202982     PISSN: 1082989X     EISSN: None     Source Type: Journal    
DOI: 10.1037/1082-989X.5.2.199     Document Type: Article

References (28)

1. Allison, D. B., Allison R. L., Faith, M. S., Paultre, F., & Pi-Sunyer, F. X. (1997). Power and money: Designing statistically powerful studies while minimizing financial costs. Psychological Methods, 2, 20-33.
2. Bond, G., Miller, L., Krumweid, R., & Ward, R. (1988). Assertive cases management in three CMHs: A controlled study. Hospital and Community Psychiatry, 9, 411-418.
3. Bryk, A., & Raudenbush, S. W. (1992). Hierarchical linear models for social and behavioral research: Applications and data analysis methods. Newbury Park, CA: Sage.
4. Burns, B., & Santos, A. (1995). Assertive community treatment: An update of randomized trials. Psychiatric Services, 47, 669-675.
5. Cleary, T. A., & Linn, R. L. (1969). Error of measurement and the power of a statistical test. British Journal of Mathematical and Statistical Psychology, 22, 49-55.
6. Cochran, W. G. (1977). Sampling techniques (3rd ed). New York: Wiley.
7. Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Erlbaum.
8. Finn, J. D., & Achilles, C. M. (1990). Answers and questions about class size: A statewide experiment. American Educational Research Journal, 27, 557-577.
9. Fuller, R. K., Mattson, M. E., Allen, J. P., Randall, C. L., Anton, R. F., & Babor, T. F. (1994). Multisite clinical trials in alcoholism treatment research: Organizational, methodological and management issues. Journal of Studies on Alcohol (Suppl. 12), 30-37.
10. Glass, G. (1976). Primary, secondary, and meta-analysis of research. Educational Researcher, 5, 3-8.
11. Haddow, J. (1991). Cotinine-assisted intervention in pregnancy to reduce smoking and low birthweight delivery. British Journal of Obstetrics and Gynecology, 98, 859-865.
12. Hedeker, D., & Gibbons, R. D. (1996). MIXOR: A computer program for mixed-effects ordinal regression analysis. Computer Methods and Programs in Biomedicine, 49, 157-176.
13. Hedges, L. V. (1994). Fixed effects models. In H. Cooper & L. V. Hedges (Eds.), The handbook of research synthesis (pp. 285-300). New York: Russell Sage Foundations.
14. Jeanpretre, N., & Kraftsik, R. (1989). A program for the computation of power and determination of sample size in hierarchical experimental designs. Computer Methods and Programs in Biomedicine, 29, 179-190.
15. Kish, L. (1965). Survey sampling. New York: Wiley.
16. Littell, R. C., Milliken, G. A., Stroup, W. W. & Wolfinger, R. D. (1996). SAS system for mixed models. Cary, NC: SAS Institute.
17. Marcoulides, G. A. (1997). Optimizing measurement designs with budget constraints: The variable cost case. Educational and Pyschological Measurement, 57, 808-812.
18. McClelland, G. H. (1997). Optimal design in psychological research. Psychological Methods, 2, 3-19.
19. Mosteller, F. (1995). The Tennessee study of class size in the early school grades. The Future of Children: Critical Issues for Children and Youth, 5, 113-125.
20. Overall, J. E., & Dalal, S. N. (1965). Design of experiments to maximize power relative to cost. Psychological Bulletin, 64, 339-350.
21. Rasbash, J., Yang, M., Woodhouse, G., & Goldstein, H. (1995). MLN: Command reference guide. London: Institute of Education.
22. Raudenbush, S. (1993). Hierarchical linear models as generalizations of certain common experimental design models. In L. Edwards (Ed.), Applied analysis of variance in behavioral science (pp. 459-496). New York: Marcel Dekker.
23. Raudenbush, S. W. (1994). Random effects models. In H. Cooper & L. V. Hedges (Eds.), The handbook of research synthesis (pp. 301-321). New York: Russell Sage Foundations.
24. Raudenbush, S. W. (1997). Statistical analysis and optimal design for cluster randomized trials. Psychological Methods, 2, 173-185.
25. Raudenbush, S., Bryk, A. S., Cheong, Y., & Congdon, R. T. (2000). HLM5: Hierarchical linear and nonlinear modeling. Chicago: Scientific Software International.
26. Raudenbush, S., Kidchanapanish, S., & Kang, S. (1991). The effects of pre-primary access and quality on educational achievement in Thailand. Comparative Education Review, 35, 255-273.
27. Singer, J. D. (1998). Using SAS PROC MIXED to fit multilevel models, hierarchical models, and individual growth models. Journal of Educational and Behavioral Statistics, 23, 323-355.
28. Waters, J. R., & Chester, A. J. (1987). Optimal allocation in multivariate, two-stage sampling design. American Statistician, 41, 46-50.