A pattern-mixture odds ratio model for incomplete categorical data

Bibliography

• Baker , S.G. and Laird , N.M. 1988 . Regression analysis for categorical variables with outcome subject to nonignorable nonresponse . Journal of the American Statistical Association , 83 : 62 – 69 .
   Web of Science ®Google Scholar
• Brown , C.H. 1990 . Protecting against nonrandomly missing data in longitudinal studies . Biometrics , 46 : 143 – 155 .
   PubMed Web of Science ®Google Scholar
• Clayton , D. and Hills , M. 1993 . Statistical Models in Epidemiology , Oxford : Oxford University Press .
   Google Scholar
• Dale , J.R. 1986 . Global cross-ratio models for bivariate, discrete, ordered responses . Biometrics , 42 : 909 – 917 .
   PubMed Web of Science ®Google Scholar
• Davison , A.C. and Hinkley , D.V. 1997 . Bootstrap Methods and Their Application , Cambridge : Cambridge University Press .
   Google Scholar
• Diggle , P.J. , Liang , K.Y. and Zeger , S.L. 1994 . Analysis of Longitudinal Data , Oxford : Oxford Science Publications, Clarendon Press .
   Google Scholar
• Ekholm , A. and Skinner , C. 1998 . The muscatine children’s obesity data re-analysed using pattern mixture models . Applied Statistics , 47 : 251 – 263 .
   Web of Science ®Google Scholar
• Glynn , R.J. , Laird , N.M. and Rubin , D.B. 1986 . “ Selection Modelling versus mixture modelling with nonignorable nonresponse ” . In Drawing Inferences from Self-Selected Samples , Edited by: Wainer , H. 115 – 142 . New York : Springer Verlag .
   Google Scholar
• Glynn , R. , Laird , N.M. and Rubin , D.B. 1993 . Multiple Imputation in Mixture Models for Nonignorable Nonresponse With Follow-ups . Journal of the American Statistical Association , 88 : 984 – 993 .
   Web of Science ®Google Scholar
• Heitjan , D.F. and Rubin , D.B. 1991 . Ignorability and coarse data . Annals of Statistics , 19 : 2244 – 2253 .
   Web of Science ®Google Scholar
• Hogan , J. and Laird , N.M. 1997 . Mixture Models for the Joint Distribution of Repeated Measures and Event Times . Statistics in Medicine , 16 : 239 – 258 .
   PubMed Web of Science ®Google Scholar
• Laird , N.M. 1988 . Missing data in longitudinal studies . Statistics in Medicine , 7 : 305 – 315 .
   PubMed Web of Science ®Google Scholar
• Lang , J.B. and Agresti , A. 1994 . Simultaneously modelling joint and marginal distributions of multivariate categorical responses . Journal of the American Statistical Association , 89 : 625 – 632 .
   Web of Science ®Google Scholar
• Lesaffre , E. , Molenberghs , G. and Dewulf , L. 1996 . Effect of dropouts in a longitudinal study: an application of a repeated ordinal model . Statistics in Medicine , 15 : 1123 – 1141 .
   PubMed Web of Science ®Google Scholar
• Li , K.H. , Raghunathan , T.E. and Rubin , D.B. 1991 . Large-sample significance levels from multiply-imputed data using moment-based statistics and an F reference distribution . Journal of the American Statistical Association , 86 : 1065 – 1073 .
   Web of Science ®Google Scholar
• Little , R.J.A. and Rubin , D.B. 1987 . Statistical Analysis with Missing Data , New York : Wiley .
   Google Scholar
• Little , R.J.A. 1993 . Pattern-mixture models for multivariate incomplete data . Journal of the American Statistical Association , 88 : 125 – 134 .
   Web of Science ®Google Scholar
• Little , R.J.A. 1994 . A class of pattern-mixture models for normal incomplete data . Biometrika , 81 : 471 – 483 .
   Web of Science ®Google Scholar
• Little , R.J.A. 1995 . Modelling the drop-out mechanism in repeated-measures studies . Journal of the American Statistical Association , 90 : 1112 – 1121 .
   Web of Science ®Google Scholar
• Mardia , K.V. 1970 . Families of Bivariate Distributions , London : Griffin .
   Google Scholar
• Mccullagh , P. and Nelder , J.A. 1989 . Generalized Linear Models , London : Chapman and Hall .
   Google Scholar
• Michiels , B. and Molenberghs , G. 1997 . Protective estimation of longitudinal categorical data with nonrandom dropout . Communications in Statistics , 26 : 65 – 94 .
   Google Scholar
• Molenberghs , G. and Goetghebeur , E. 1997 . Simple fitting algorithms for incomplete categorical data . Journal of the Royal Statistical Society, Series B , 59 : 401 – 414 .
   Google Scholar
• Molenberghs , G. , Kenward , M.G. and Lesaffre , E. 1997 . The analysis of longitudinal ordinal data with nonrandom dropout . Biomeirika , 84 : 33 – 44 .
   Web of Science ®Google Scholar
• Molenberghs , G. and Lesaifre , E. 1994 . Marginal modelling of correlated ordinal data using an n-way Plackett distribution . Journal of the American Statistical Association , 89 : 633 – 644 .
   Web of Science ®Google Scholar
• Molenberghs , G. and Lesaffre , E. 1999 . Marginal modelling of multivariate categorical data . Statistics in Medicine , 18
   Web of Science ®Google Scholar
• Molenberghs , G. , Michiels , B. and Kenward , M.G. 1998 . Pseudo-likelihood for combined selection and pattern-mixture models for missing data problems . Biometrical Journal , 18
   Google Scholar
• Molenberghs , G. , Michiels , B. , Kenward , M.G. and Diggle , P.J. 1997 . Missing data mechanisms and pattern-mixture models . Statistica Neerlandica , 52 : 153 – 161 .
   Web of Science ®Google Scholar
• Plackett , R.L. 1965 . A class of bivariate distributions . Journal of the American Statistical Association , 60 : 516 – 522 .
   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. 1977 . Formalizing Subjective Notions About the Effect of Nonrespon-dents in Sample Surveys . Journal of the American Statistical Association , 72 : 538 – 543 .
   Web of Science ®Google Scholar
• Rubin , D.B. 1987 . Multiple Imputation for Nonresponse in Surveys , New York : Wiley .
   Google Scholar
• Rubin , D.B. and Schenker , N. 1986 . Multiple imputation for interval estimation from random samples . Journal of the American Statistical Association , 81 : 366 – 374 .
   Web of Science ®Google Scholar
• Rubin , D.B. , Stern , H.S. and Vehovar , V. 1995 . Handling Don't Know Survey Responses: The Case of the Slovenian Plebiscite . Journal of the American Statistical Association , 90 : 822 – 828 .
   Web of Science ®Google Scholar
• Schafer , J.L. 1997 . Analysis of Incomplete Multivariate Data , London : Chapman and Hall .
   Google Scholar
• Welsh , A.H. 1996 . Aspects of Statistical Inference , New York : Wiley .
   Google Scholar