Exact inference for complex clustered data using within-cluster resampling

Journal of Biopharmaceutical Statistics

Volumn 20, Issue 4, 2010, Pages 850-869

  Follmann, Dean ^a   Fay, Michael ^a  

^a NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES   (United States)

Author keywords

Clustering; Correlated data; Multiple outputation; Permutation test; Within cluster resampling

Indexed keywords

ZIDOVUDINE;

ALGORITHM; ARTICLE; CD4 LYMPHOCYTE COUNT; CLUSTER ANALYSIS; HEART FUNCTION; HIGHLY ACTIVE ANTIRETROVIRAL THERAPY; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MONTE CARLO METHOD; PERMUTATION TEST; PRIORITY JOURNAL; RANDOMIZATION; REFERENCE VALUE; SAMPLING; SIMULATION; STATISTICAL ANALYSIS;

ALGORITHMS; BIOMETRY; BIOSTATISTICS; CD4 LYMPHOCYTE COUNT; CIRCADIAN RHYTHM; CLUSTER ANALYSIS; COMPUTER SIMULATION; HEART; HIV INFECTIONS; HUMANS; INFECTIOUS DISEASE TRANSMISSION, VERTICAL; LINEAR MODELS; MONTE CARLO METHOD; SEIZURES; VIRAL LOAD; ZIDOVUDINE;

EID: 77952910325     PISSN: 10543406     EISSN: 15205711     Source Type: Journal    
DOI: 10.1080/10543401003618884     Document Type: Article

References (23)

1. Anderson, M., Legendre P. (1999). An empirical comparison of permutation methods for tests of partial regression coefficients in a linear model. Journal of Statistical Computation and Simulation 62:271-303.
2. Braun, T., Feng, Z. (2001). Optimal permutation tests for the analysis of group randomized trials. Journal of the American Statistical Association 96:1424-1432.
3. Cai, J., Shen, Y. (2000). Permutation tests for comparing marginal survival functions with clustered failure time data. Statistics in Medicine 19:2963-2973.
4. Datta, S., Satten, G. (2005). Rank tests for clustered data. Journal of the American Statistical Association 100:908-915.
5. Datta, S., Satten, G. (2008). A signed-rank test for for clustered data. Biometrics Association 64:501-507.
6. Di Mascio, M., Markowitz, M., Louie, M., Hurley, A., Hogan, C., Simon, V., Follmann, D., Ho, D. D., Perelson. A. S. (2004). Dynamics of intermittent viremia during highly active antiretroviral therapy in patients who initiate therapy during chronic versus acute and early human immunodeficiency virus type 1 infection. Journal of Virology 78(19):10566-10573.
7. Domanski, M., Sloas, M., Follmann, D. A., Scallise, P. P., Tucker, E. E., Egan, D., Pizzo, P. (1995). Effect of zidovudine and didanosine treatment on cardiac function in human immunodeficiency virus infected children. Journal of Pediatrics 127:137-146.
8. Edgington, E. S. (1995). Randomization Test. 3rd ed. New York: Marcel Dekker.
9. Fay, M. P., Follmann, D. (2002). Designing Monte Carlo implementations of permutation or bootstrap hypothesis tests. American Statistician 56:63-70.
10. Fay, M. P., Graubard, B. I. (2001). Small-sample adjustments for Wald-type tests using sandwich estimators. Biometrics 57(4):1198-1206.
11. Fay, M. P., Shih, J. H. (1998). Permutation tests using estimated distribution functions. Journal of the American Statistical Association 93:387-396
12. Follmann, D. A., Proschan, M. A., Leifer, E. (2003). Multiple outputation: Inference for complex multivariate data by averaging analyses from univariate data. Biometrics 59:420-429.
13. Follmann, D. A., Proschan, M. A. (1999). A simple permutation-type method for testing circular uniformity with correlated angular measurements. Biometrics 55:782-791.
14. Freedman, D., Lane, D. (1983). A nonstochastic interpretation of reported significance levels. Journal of Business and Economic Statistics 1:292-298.
15. Gail, M., Mark, S., Carroll, R., Green, S., Pee, D. (1996). On design considerations and randomization-based inference for community intervention trials. Statistics in Medicine 15:1069-1092.
16. Hoffman, E. B., Sen, P. K., Weinberg, C. (2001). Within-cluster resampling. Biometrika 88:1121-1134.
17. Kennedy, P. E., Cade, B. S. (1996). Randomization tests for multiple regression. Communications in Statistics: Simulation and Computation 25:923-936.
18. Liang, K.-Y., Zeger, S. (1986). Longitudinal analysis using generalized linear models. Biometrika 73:13-22.
19. Manly, B. F. J. (1997). Randomization and Monte Carlo Methods in Biology. London: Chapman and Hall.
20. Mardia, K. V. (1972). Statistics of Directional Data. New York: Academic Press.
21. Rosner, B., Glynn, R., Lee, M.-L. (2003). Incorporation of clustering effects for the Wilcoxon Rank Sum Test: A large-sample approach. Biometrics 59:1089-1098.
22. Sen, P. K. (1985). Permutational central limit theorem. In: Kotz, Balakrishnan, Read, Vidakovic, Johnson, eds. Encyclopedia of Statistical Sciences. 2nd ed. pp. 6069-6073.
23. Williamson, J., Datta, S., Satten, G. (2003). Marginal analyses of clustered data when cluster size is informative. Biometrics 59:36-42.