5 citations · 10 across the 13 of their papers we have counts for
13 papers
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…
Learning and Predicting from Dynamic Models for COVID-19 Patient Monitoring
Zitong Wang, Mary Grace Bowring, Antony Rosen +3
COVID-19 has challenged health systems to learn how to learn. This paper describes the context, methods and challenges for learning to improve COVID-19 care at one academic health…
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…
Estimating AutoAntibody Signatures to Detect Autoimmune Disease Patient Subsets
Zhenke Wu, Livia Casciola-Rosen, Ami A. Shah +2
Autoimmune diseases are characterized by highly specific immune responses against molecules in self-tissues. Different autoimmune diseases are characterized by distinct immune resp…
Nested Partially-Latent Class Models for Dependent Binary Data; Estimating Disease Etiology
Zhenke Wu, Maria Deloria-Knoll, Scott Zeger
The Pneumonia Etiology Research for Child Health (PERCH) study seeks to use modern measurement technology to infer the causes of pneumonia for which gold-standard evidence is unava…
Fast Out-of-Sample Predictions for Bayesian Hierarchical Models of Latent Health States
Aaron J Fisher, R Yates Coley, Scott L Zeger
Hierarchical Bayesian models can be especially useful in precision medicine settings, where clinicians are interested in estimating the patient-level latent variables associated wi…
Partially-Latent Class Models (pLCM) for Case-Control Studies of Childhood Pneumonia Etiology
Zhenke Wu, Maria Deloria-Knoll, Laura L. Hammitt +1
In population studies on the etiology of disease, one goal is the estimation of the fraction of cases attributable to each of several causes. For example, pneumonia is a clinical d…