Missing Confounding Data in Marginal Structural Models: A Comparison of Inverse Probability Weighting and Multiple Imputation

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1. Article
2. Two-Sample Tests of Area-Under-the-Curve in the Presence of Missing Data
3. Interaction Trees with Censored Survival Data
4. Biclustering of Gene Expression Data by an Extension of Mixtures of Factor Analyzers
5. Extended Instrumental Variables Estimation for Overall Effects
6. Empirical Efficiency Maximization: Improved Locally Efficient Covariate Adjustment in Randomized Experiments and Survival Analysis
7. Inference of the Haplotype Effect in a Matched Case-Control Study Using Unphased Genotype Data
8. On the Plackett Distribution with Bivariate Censored Data
9. Instrumental Variables vs. Grouping Approach for Reducing Bias Due to Measurement Error
10. Sample Size Estimation for Repeated Measures Analysis in Randomized Clinical Trials with Missing Data
11. Exact Calculations of Average Power for the Benjamini-Hochberg Procedure
12. Missing Confounding Data in Marginal Structural Models: A Comparison of Inverse Probability Weighting and Multiple Imputation
13. Pattern Mixture Models and Latent Class Models for the Analysis of Multivariate Longitudinal Data with Informative Dropouts
14. Systematic Missing-At-Random (SMAR) Design and Analysis for Translational Research Studies
15. Statistical Models for Assessing Agreement in Method Comparison Studies with Replicate Measurements
16. Estimation Based on Case-Control Designs with Known Prevalence Probability
17. Testing for Associations with Missing High-Dimensional Categorical Covariates
18. Simple Optimal Weighting of Cases and Controls in Case-Control Studies
19. A Marginal Mixture Model for Selecting Differentially Expressed Genes across Two Types of Tissue Samples
20. Joint Analysis of Current Status and Marker Data: An Extension of a Bivariate Threshold Model
21. Causal Inference from Longitudinal Studies with Baseline Randomization
22. Direct Effect Models
23. Reader's Reaction
24. Comment: Improved Local Efficiency and Double Robustness
25. Rejoinder to Tan