Model‐Assisted Regression Estimators for Longitudinal Data with Nonignorable Dropout
Author:
Affiliation:
1. School of Statistics and Data Science & LPMCNankai University Tianjin 300071 China
2. Department of StatisticsUniversity of Wisconsin‐Madison Madison 53706 WI USA
3. School of StatisticsEast China Normal University Shanghai 200241 China
Funder
National Natural Science Foundation of China
Publisher
Wiley
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/insr.12288
Reference16 articles.
1. Informative Drop-Out in Longitudinal Data Analysis
2. Regression models for longitudinal binary responses with informative drop‐outs;Fitzmaurice G.M.;J. R. Stat. Soc. Ser. B (Stat Methodol.),1995
3. Achieving semiparametric efficiency bound in longitudinal data analysis with dropouts
4. Large Sample Properties of Generalized Method of Moments Estimators
5. A Semiparametric Estimation of Mean Functionals With Nonignorable Missing Data
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