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Ten Have, Thomas R; Ratcliffe, Sarah J; Reboussin, Beth A et al. (2004) Deviations from the population-averaged versus cluster-specific relationship for clustered binary data. Stat Methods Med Res 13:3-16
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Joffe, Marshall M; Ten Have, Thomas R; Brensinger, Colleen (2003) The compliance score as a regressor in randomized trials. Biostatistics 4:327-40
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Ten, HaveThomasR; Reboussin, Beth A; Miller, Michael E et al. (2002) Mixed effects logistic regression models for multiple longitudinal binary functional limitation responses with informative drop-out and confounding by baseline outcomes. Biometrics 58:137-44
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Ten Have, T R; Miller, M E; Reboussin, B A et al. (2000) Mixed effects logistic regression models for longitudinal ordinal functional response data with multiple-cause drop-out from the longitudinal study of aging. Biometrics 56:279-87
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Ten Have, T R; Morabia, A (1999) Mixed effects models with bivariate and univariate association parameters for longitudinal bivariate binary response data. Biometrics 55:85-93
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Ten Have, T R; Kunselman, A R; Tran, L (1999) A comparison of mixed effects logistic regression models for binary response data with two nested levels of clustering. Stat Med 18:947-60
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Ten Have, T R; Kunselman, A; Zharichenko, E (1998) Accommodating negative intracluster correlation with a mixed effects logistic model for bivariate binary data. J Biopharm Stat 8:131-49
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Ten Have, T R; Kunselman, A R; Pulkstenis, E P et al. (1998) Mixed effects logistic regression models for longitudinal binary response data with informative drop-out. Biometrics 54:367-83
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Morabia, A; Ten Have, T; Landis, J R (1997) Interaction fallacy. J Clin Epidemiol 50:809-12
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Ten Have, T R (1996) A mixed effects model for multivariate ordinal response data including correlated discrete failure times with ordinal responses. Biometrics 52:473-91
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