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Di Zhang

University of Pittsburgh

135 N Bellefield Ave

Pittsburgh, PA 15260

United States

  • University of Pittsburgh

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Scholarly Papers (1)

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Bias-Corrected and Doubly Robust Inference for the Three-Level Longitudinal Cluster-Randomized Trials with Missing Continuous Outcomes and Small Number of Clusters: Application to a Study for Adults with Serious Mental Illnesses

Number of pages: 27 Posted: 04 Nov 2022
Chaeryon Kang, Di Zhang, James Schuster, Jane Kogan, Cara Nikolajski and Charles F. Reynolds
University of Pittsburgh - Department of Biostatistics, University of Pittsburgh, University of Pittsburgh - Medical Center (UPMC), University of Pittsburgh - Medical Center (UPMC), University of Pittsburgh - Medical Center (UPMC) and University of Pittsburgh - Graduate School of Public Health
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Abstract:

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Augmented inverse probability weighted estimating equation, Bias-corrected variance, Longitudinal cluster-randomization, Missing at random, Small number of clusters.