Modeling Missingness for Time-to-Event Data: A Case Study in Osteoporosis

References

• Carpenter , J. , Pocock , S. and Lamm , C. J. 2002 . Coping with missing data in clinical trials: A model-based approach applied to asthma trials . Statist. Med. , 21 : 1043 – 1066 .
   PubMed Web of Science ®Google Scholar
• Chesnut , C. H. , Silverman , S. , Andriano , K. , Genant , H. , Gimona , A. , Harris , S. , Kiel , D. , LeBoff , M. , Maricic , M. , Miller , P. , Moniz , C. , Peacock , M. , Richardson , P. , Watts , N. and Baylink , D. 2000 . A randomized trial of nasal spray salmon calcitonin in postmenopausal women with established osteoporosis: The prevent recurrence of osteoporotic fractures study . Am. J. Med. , 109 : 267 – 276 .
   PubMed Web of Science ®Google Scholar
• Cox , D. R. and Oakes , D. O. 1984 . Analysis of Survival Data London : Chapman & Hall .
   Google Scholar
• Demirtas , H. and Schafer , J. L. 2003 . On the performance of random-coefficient pattern-mixture models for non-ignorable drop-out . Statist. Med. , 22 : 2553 – 2575 .
   PubMed Web of Science ®Google Scholar
• Dempster , A. P. , Laird , N. and Rubin , D. B. 1977 . Maximum likelihood from incomplete data via the EM algorithm . J. R. Statist. Soc. , B39 : 1 – 38 .
   Google Scholar
• Harrell , F. E. Jr. 2001 . Regression Modeling Strategies with Applications to Linear Models, Logistic Regression, and Survival Analysis New York : Springer .
   Google Scholar
• Lin , D. Y. , Robins , J. M. and Wei , L. J. 1996 . Comparing two failure time distributions in the presence of dependent censoring . Biometrika , 83 ( 2 ) : 381 – 393 .
   Google Scholar
• Little , R. J. A. 1986 . Survey nonresponse adjustments . Int. Statist. Rev. , 54 : 139 – 157 .
   Web of Science ®Google Scholar
• Little , R. J. A. 1993 . Pattern-mixture models for multivariate incomplete data . J. Am. Statist. Assoc. , 84 : 125 – 134 .
   Google Scholar
• Little , R. J. A. 1994 . A class of pattern-mixture models for normal missing data . Biometrika , 81 : 471 – 483 .
   Web of Science ®Google Scholar
• Little , R. J. A. 1995 . Modeling the dropout mechanism in longitudinal studies . J. Am. Statist. Assoc. , 90 : 1112 – 1121 .
   Web of Science ®Google Scholar
• Little , R. J. A. and Wang , Y. 1996 . Pattern-mixture models for multivariate incomplete data with covariates . Biometrics , 52 : 98 – 111 .
   PubMed Web of Science ®Google Scholar
• Little , R. J. A. and Rubin , D. B. 2002 . Statistical Analysis with Missing Data New York : Wiley .
   Google Scholar
• Pinheiro , J. C. and Bates , D. M. 2000 . Mixed-Effects Models in S and S-PLUS New York : Springer .
   Google Scholar
• Robins , J. M. and Finkelstein , D. M. 2000 . Correcting for noncomplicance and dependent censoring in an AIDS clinical trial with inverse probability of censoring weighted (IPCW) log-rank tests . Biometrics , 56 : 779 – 788 .
   PubMed Web of Science ®Google Scholar
• Robins , J. M. , Rotnitzky , A. and Zhao , L. P. 1994 . Estimation of regression coefficients when some regressors are not always observed . J. Am. Statist. Assoc. , 89 : 846 – 866 .
   Web of Science ®Google Scholar
• Rubin , D. B. 1976 . Inference and missing data . Biometrika , 63 : 581 – 592 .
   Web of Science ®Google Scholar
• Rubin , D. B. 1987 . Mulitple Imputation for Nonresponse in Surveys New York : John Wiley .
   Google Scholar
• Rubin , D. B. 1996 . Multiple imputation after +18 years (with discussion) . J. Am. Statist. Assoc. , 91 : 473 – 489 .
   Web of Science ®Google Scholar
• SAS/STAT© Software (2001). Changes and Enhancements, Release 8.2: MI Procedure, MI-ANALYZE Procedure. Cary, NC: SAS Institute, pp. 129–235
   Google Scholar
• Schafer , J. L. 1997 . Analysis of Incomplete Multivariate Data London : CRC Press/Chapman & Hall .
   Google Scholar
• Schafer , J. L. 1999 . Multiple imputation: A primer . Statist. Methods Med. Res. , 8 : 3 – 15 .
   PubMed Web of Science ®Google Scholar
• Schimert , J. , Schafer , J. L. , Hesterberg , T. , Fraley , C. and Clarkson , D. 2001 . Analyzing Missing Values in S-Plus Seattle, WA : Insightful Corporation .
   Google Scholar
• SOLAS© 3.0 Software (2001). Saugas: Statistical Solutions Ltd
   Google Scholar
• Spiegelhalter , D. , Thomas , A. and Best , N. 2000 . WinBUGS Version 1.3 Cambridge, , UK : MRC Biostatistics Unit .
   Google Scholar
• van der Laan , M. J. and Robins , J. M. 2003 . Unified Methods for Censored Longitudinal Data and Causality New York : Springer .
   Google Scholar
• Verbeke , G. and Molenberghs , G. 2000 . Linear Mixed Models for Longitudinal Data New York : Springer .
   Google Scholar