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Investigating Missing Data Mechanisms in Substance Abuse Research: Analyzing the Missing-Not-At-Random (MNAR) Pattern of ‘Return to Use’ Data
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Methods for Improving Doubly Robust Estimators of Treatment Effects for Observational Studies and Randomized Trials
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Likelihood Methods for Logistic
Regression with Missing Data
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Statistical Methods for Causal Inference in Observational Studies
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PRISE STUDY: A missing data problem
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