A Unified Framework for Modeling Feedback and Endogeneity in Longitudinal Binary Outcomes Using Bayesian Methods
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DOI: 10.1002/sim.70221
Abstract: Longitudinal studies with binary outcomes often involve time‐dependent covariates that evolve alongside outcomes, introducing feedback effects and endogeneity. Standard approaches, such as Generalized Estimating Equations (GEE) and Generalized Linear Mixed Models (GLMM), typically assume covariate… read more here.
Keywords: framework; modeling feedback; framework modeling; unified framework ... See more keywords
Retrospective Association Analysis of Longitudinal Binary Traits Identifies Important Loci and Pathways in Cocaine Use.
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DOI: 10.1534/genetics.119.302598
Abstract: Longitudinal phenotypes have been increasingly available in genome-wide association studies (GWAS) and electronic health record-based studies for identification of genetic variants that influence complex traits over time. For longitudinal binary data, there remain significant challenges… read more here.
Keywords: cocaine use; analysis; longitudinal binary; association ... See more keywords
Bayesian Modeling and Inference for Nonignorably Missing Longitudinal Binary Response Data with Applications to HIV Prevention Trials.
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DOI: 10.5705/ss.202016.0319
Abstract: Missing data are frequently encountered in longitudinal clinical trials. To better monitor and understand the progress over time, one must handle the missing data appropriately and examine whether the missing data mechanism is ignorable or… read more here.
Keywords: hiv prevention; binary response; longitudinal binary; missing data ... See more keywords