1 citations · 1 across the 2 of their papers we have counts for
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Modeling Structure and Country-specific Heterogeneity in Misclassification Matrices of Verbal Autopsy-based Cause of Death Classifiers
Sandipan Pramanik, Scott Zeger, Dianna Blau +1
Verbal autopsy (VA) algorithms are routinely used to determine individual-level causes of death (COD) in many low-and-middle-income countries, which are then aggregated to derive p…
Causal Inference using Multivariate Generalized Linear Mixed-Effects Models with Longitudinal Data
Yizhen Xu, Jisoo Kim, Laura K. Hummers +2
Dynamic prediction of causal effects under different treatment regimes conditional on an individual's characteristics and longitudinal history is an essential problem in precision…
baker: An R package for Nested Partially-Latent Class Models
Irena B Chen, Qiyuan Shi, Scott L Zeger +1
This paper describes and illustrates the functionality of the baker R package. The package estimates a suite of nested partially-latent class models (NPLCM) for multivariate binary…
A Transformation-free Linear Regression for Compositional Outcomes and Predictors
Jacob Fiksel, Scott Zeger, Abhirup Datta
Compositional data are common in many fields, both as outcomes and predictor variables. The inventory of models for the case when both the outcome and predictor variables are compo…
Generalized Bayes Quantification Learning under Dataset Shift
Jacob Fiksel, Abhirup Datta, Agbessi Amouzou +1
Quantification learning is the task of prevalence estimation for a test population using predictions from a classifier trained on a different population. Quantification methods ass…
Regularized Bayesian transfer learning for population level etiological distributions
Abhirup Datta, Jacob Fiksel, Agbessi Amouzou +1
Computer-coded verbal autopsy (CCVA) algorithms predict cause of death from high-dimensional family questionnaire data (verbal autopsies) of a deceased individual. CCVA algorithms…