Pattern-Mixture Models for Multivariate Incomplete Data

Keywords

Multivariate statistics, Statistics, Multivariate analysis, Econometrics, Mixture model

References

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• Tools for Statistical Inference: Observed Data and Data Augmentation MethodsShulamith T. Gross, Martin A. Tanner — 1993
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• INFERENCE AND MISSING DATADonald B. Rubin — 1975
• Two-Dimensional Contingency Tables with Both Completely and Partially Cross-Classified DataTar Chen, Stephen E. Fienberg — 1974
• On Jointly Estimating Parameters and Missing Data by Maximizing the Complete-Data LikelihoodRoderick J. A. Little, Donald B. Rubin — 1983
• Lattice-ordered conditional independence models for missing dataSteen A. Andersson, Michael D. Perlman — 1991
• Models for Nonresponse in Sample SurveysRoderick J. A. Little — 1982
• Imputation of Missing Values When the Probability of Response Depends on the Variable Being ImputedJohn Greenlees, William S. Reece, Kimberly D. Zieschang — 1982
• Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paperA. P. Dempster, N. M. Laird, Donald B. Rubin — 1977
• Tools for statistical inferenceAndrew L. Rukhin, Martin A. Tanner — 1991
• Regression Analysis for Categorical Variables with Outcome Subject to Nonignorable NonresponseStuart G. Baker, Nan M. Laird — 1988
• A Test of Missing Completely at Random for Multivariate Data with Missing ValuesRoderick J. A. Little — 1988
• An approximation to maximum likelihood estimates in reduced modelsD. R. Cox, Nanny Wermuth — 1990
• Characterizing the Estimation of Parameters in Incomplete-Data ProblemsDonald B. Rubin — 1974
• Causal Models for Patterns of NonresponseRobert E. Fay — 1986
• The Analysis of Social Science Data with Missing ValuesRoderick J. A. Little, Donald B. Rubin — 1989

Cited by

• Ignorable and Nonignorable Modeling in Regression with Incomplete CovariatesNanhua Zhang — 2011
• Analysis of longitudinal data with drop‐out: objectives, assumptions and a proposalPeter J. Diggle, Daniel Farewell, Robin Henderson — 2007
• Simple pattern-mixture models for longitudinal data with missing observations: analysis of urinary incontinence data.Luis María Roy — 1999
• A graphical sensitivity analysis for clinical trials with non‐ignorable missing binary outcomeLeonora Woodman, Louis T. Milić — 2002
• Parametric latent class joint model for a longitudinal biomarker and recurrent eventsBree Hadley — 2007
• Missing data in clinical trials: from clinical assumptions to statistical analysis using pattern mixture modelsCarmen Giussani — 2013
• Testing treatment effect in schizophrenia clinical trials with heavy patient dropout using latent class growth mixture models胖 佐伯 — 2016
• Statistical Methods for patient chemosensitivity prediction based on in vitro Dose-response Data and A Modified Expectation-maximization (EM) Algorithm for Regression Analysis of Data with Non-ignorable Non-responseYang Zhang — 2014
• AN ANALYSIS OF NONIGNORABLE NONRESPONSE IN A SURVEY WITH A ROTATING PANEL DESIGNCaterina Giusti, Roderick J. A. Little — 2010
• Regression modeling with missing outcomes : competing risks and longitudinal dataMargarita Moreno Betancur — 2013
• Analyzing Group by Time Effects in Longitudinal Two-Group Randomized Trial Designs With Missing DataJames Algina, H. J. Keselman, Abdul Rahim Othman — 2003
• Some Topics in Missing Data and Adaptive Confidence Intervals. Some Topics in Missing Data and Adaptive Confidence Intervals.Yan Zhou — 2009
• Conditional Empirical Likelihood Approach to Statistical Analysis with Missing Data.Peisong Han — 2013
• Multiple Imputation Methods for Nonignorable Nonresponse, Adaptive Survey Design, and Dissemination of Synthetic GeographiesThaís Paiva — 2014
• Prediction in the joint modeling of mixed types of multivariate longitudinal outcomes and a time-to-event outcomeJiin Choi — 2012
• Investigating Treatment Effects in a Domestic Violence Experiment with Partially Missing Outcome DataRobert Brame — 2000
• SOME METHODS ON LONGITUDINAL DATA ANALYSISGrace Y. Yi — 2006
• Nonresponse Adjustment in the Current Employment Statistics SurveyKennon R. Copeland — 2004
• Reducing parameter estimation bias for data with missing values using simulation extrapolationYu‐Yi Hsu — 2013
• Analysis of survey dataRaymond L. Chambers, Chris Skinner — 2003

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