1 citations · 1 across the 2 of their papers we have counts for
6 papers
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…
A hierarchical model for estimating exposure-response curves from multiple studies
Joshua P. Keller, Joanne Katz, Amid K. Pokhrel +3
Cookstove replacement trials have found mixed results on their impact on respiratory health. The limited range of concentrations and small sample sizes of individual studies are im…
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…
A Bayesian Approach to Restricted Latent Class Models for Scientifically-Structured Clustering of Multivariate Binary Outcomes
Zhenke Wu, Livia Casciola-Rosen, Antony Rosen +1
In this paper, we propose a general framework for combining evidence of varying quality to estimate underlying binary latent variables in the presence of restrictions imposed to re…