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The Prevention and Treatment of Missing Data in Clinical Trials (2010)
Committee on National Statistics (CNSTAT)

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The Prevention and Treatment of Missing Data in Clinical Trials

Van Buuren, S., and Oudshoorn, C.G.M. (1999). Flexible Multivariate Imputation by MICE. (TNO/VGZ/PG99.054.) Leiden, The Netherlands: TNO Preventieen Gezondheid. Available: http://www.multiple-imputation.com.

Van Steen, K., Molenberghs, G., Verbeke, G., and Thijs, H. (2001). A local influence approach to sensitivity analysis of incomplete longitudinal ordinal data. Statistical Modeling, 1, 125-142.

Verbeke, G., and Molenberghs, G. (2000). Linear Mixed Models for Longitudinal Data. New York: Springer-Verlag.

Verbeke, G., and Molenberghs, G. (in press). Arbitrariness of models for augmented and coarse data, with emphasis on incomplete-data and random-effects models. Statistical Modeling, 9.

Verbeke, G., Molenberghs, G., Thijs, H., Lesaffre, E., and Kenward, M.G. (2001), Sensitivity analysis for nonrandom dropout: A local influence approach. Biometrics, 57(1), 7-14.

Wang-Clow, F., Lange, M., Laird, N.M., and Ware, J.H. (1995). Simulation study of estimators for rate of change in longitudinal studies with attrition. Statistics in Medicine, 14, 283-297.

Warden, D., Trivedi, M.H., Wisniewski, S.R., Davis, L., Nierenberg, A.A., Gaynes, B.N., Zisook, S., Hollon, S.D., Balasubramani, G.K., Howland, R., Fava, M., Steward, J.W., and Rush, A.J. (2007). Predictors of attrition during initial (citalopram) treatment for depression: A STAR*D report. American Journal of Psychiatry, 164, 1,189-1,197.

White, I.R. (2005). Uses and limitations of randomization-based efficacy estimators. Statistical Methods in Medical Research, 14, 327-347.

Williams, P.L., Van Dyke, R., Eagle, M., Smith, D., Vincent, C., Cuipak, G, Oleske, J., and Seage, G.R. III. (2008). Association of site-specific and participant-specific factors with retention of children in a long-term pediatric HIV cohort. American Journal of Epidemiology, 167, 1,375-1,386.

Wu, M.C., and Bailey, K.R. (1989). Estimation and comparison of changes in the presence of informative right censoring: conditional linear model. Biometrics, 45, 939-955.

Wu, M.C., and Carroll, R.J. (1988). Estimation and comparison of changes in the presence of informative right censoring by modeling the censoring process. Biometrics, 44, 175-188.

Zeger, S.L., and Liang, K.-Y. (1986). Longitudinal data analysis for discrete and continuous outcomes. Biometrics, 42(1), 121-130.

Zhang, G., and Little, R.J.A. (2009). Extensions of the penalized spline of propensity prediction method of imputation. Biometrics, 65, 911-918.

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