Accounting for interactions and complex inter-subject dependency in estimating treatment effect in cluster-randomized trials with missing outcomes - Prague, Melanie; Wang, Rui; Stephens, Alisa; Tchetgen Tchetgen, Eric; DeGruttola, Victor (Biometrics, 2016)
Keywords: Augmentation; BIOMETRIC METHODOLOGY; biometry; Clinical trials; Cluster Analysis; Cluster-randomized trials; Clusters; Computer Simulation; Data Interpretation, Statistical; Data processing; Direct reduction; equations; Estimates; Estimation; Generalized estimating equation (GEE); HIV; HIV Infections; Human immunodeficiency virus; Humans; Interactions; Interference; Inverse probability weighting (IPW); Mathematical models; Missing at random (MAR); Missing data; Models, Statistical; Outcome Model; Probabilistic methods; Propensity Score; R package; Randomized Controlled Trials as Topic - statistics & numerical data; Risk; Semi-parametric methods; Simulation; South Africa; Treatment Outcome; South Africa; Augmentation; Propensity Score; Generalized estimating equation (GEE); Cluster-randomized trials; Inverse probability weighting (IPW); Interference; Missing at random (MAR); Semi-parametric methods; Interactions; Outcome Model; R package