Автор |
Murray, David, M. |
Автор |
Hannan, Peter, J. |
Автор |
Baker, William, L. |
Дата выпуска |
1996 |
dc.description |
Strategies to avoid the penalties of extra variation and reduced degrees offreedom in community trials were compared in Monte Carlo simulations Three conditions were found necessary to ensure nominal Type I and II error rates: (a) Condition variation must be assessed against assignment unit variation, (b) the critical value for the test statistic must be based on the assignment unit degrees offreedom, and (c) estimation of negative intraclass correlations must be allowed in the analysis. Using other test statistics and other degrees of freedom, and fixing negative intraclass correlations at zero often gave Type I and II error rates far from their nominal levels. |
Издатель |
Sage Publications |
Название |
A Monte Carlo Study of Alternative Responses To Intraclass Correlation in Community Trials |
Тип |
Journal Article |
DOI |
10.1177/0193841X9602000305 |
Print ISSN |
0193-841X |
Журнал |
Evaluation Review |
Том |
20 |
Первая страница |
313 |
Последняя страница |
337 |
Аффилиация |
Murray, David, M., University of Minnesota |
Аффилиация |
Hannan, Peter, J., University of Minnesota |
Аффилиация |
Baker, William, L., University of Minnesota |
Выпуск |
3 |
Библиографическая ссылка |
Blair, R.C., and J.J. Higgins.1986. Comment on "Statistical power with group mean as the unit of analysis." Journal of Educational Statistics11 (2): 161-9. |
Библиографическая ссылка |
Bryk, A.S., and S.W. Raudenbush .1992. Hierarchical linear models: Applications and data analysis methods. Newbury Park, CA : Sage. |
Библиографическая ссылка |
Cornfield, J.1978. Randomization by group: A formal analysis. American Journal of Epidemiology108 (2): 100-2. |
Библиографическая ссылка |
Feldman, H.A., S.M. McKinlay, and M. Niknian.1996. Batch sampling to improve power in a community trial: Experience from the Pawtucket Heart Health Program. Evaluation Review20:244-274. |
Библиографическая ссылка |
Hannan, P.J., D.M. Murray, D.R. Jacobs, and P.G. McGovern.1994. Parameters to aid in the design and analysis of community trials: Intraclass correlations from the Minnesota Heart Health Program. Epidemiology5 (1): 88-95. |
Библиографическая ссылка |
Harville, D.A.1977. Maximum likelihood approaches to variance component estimation and to related problems. Journal of the American Statistical Association72:320-38. |
Библиографическая ссылка |
Kish, L.1965. Survey sampling. New York: John Wiley. |
Библиографическая ссылка |
Liang, K.Y., and S.L. Zeger.1986. Longitudinal data analysis using generalized linear models. Biometrika73:13-22. |
Библиографическая ссылка |
Murray, D.M., S.M. McKinlay, D. Martin, A.P. Donner, J.H. Dwyer, S.W. Raudenbush, B.I. Graubard.1994. Design and analysis issues in community trials. Evaluation Review18:493-514. |
Библиографическая ссылка |
SAS Institute, Inc.1992. SAS technical report P-229, SAS/STAT software: Changes and enhancements, release 6.07. Cary, NC: SAS Institute, Inc . |
Библиографическая ссылка |
—. 1994. SAS/STAT software: Changes and enhancements, release 6.10 . Cary, NC: SAS Institute, Inc. |
Библиографическая ссылка |
—. 1996. SAS/STAT software: Changes and enhancements, through release 6.11. Cary, NC: SAS Institute, Inc . |
Библиографическая ссылка |
Shah, B.V. , B.G. Barnwell, and G.S. Bieler. 1995. SUDAAN: Software for analysis of correlated data, user's manual, release 6.40. Research Triangle Park, NC: Research Triangle Institute. |
Библиографическая ссылка |
Skinner, C.J., D. Holt, and T.M.F. Smith.1989. Analysis of complex surveys. New York: John Wiley. |
Библиографическая ссылка |
Swallow, M.H., and J.F. Monahan.1984. Monte Carlo comparison of ANOVA, MIVQUE, REML, and ML estimators of variance components. Technometrics26 (1): 47-57. |
Библиографическая ссылка |
Zucker, D.M.1990. An analysis of variance pitfall: The fixed effects analysis in a nested design. Educational and Psychological Measurement50:731-8. |