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Bayesian Semiparametric Model for Sequential Treatment Decisions with Informative Timing
A. Oganisian
,
K. Getz
,
T. Alonzo
,
R. Aplenc
,
J. Roy
Preprint
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Project
Hierarchical Bayesian Bootstrap for Heterogeneous Treatment Effect Estimation
A major focus of causal inference is the estimation of heterogeneous average treatment effects (HTE) - average treatment effects within …
A. Oganisian
,
Nandita Mitra
,
Jason Roy
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Project
Association of ACA Expansion with Timely Cancer Treatment
SU Takvorian
,
A. Oganisian
,
R. Mamtani
,
N. Mitra
,
LN Shulman
,
JE Bekelman
,
RM Werner
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Project
A Practical Introduction to Bayesian Estimation of Causal Effects: Parametric and Nonparametric Approaches
Substantial advances in Bayesian methods for causal inference have been made in recent years. We provide an introduction to Bayesian …
A. Oganisian
,
Jason Roy
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Project
Economic Outcomes of Insurer-Led Care Management for High-Cost Medicaid Patients
JM Harrison
,
A. Oganisian
,
DT Grande
,
N. Mitra
,
Manik Chhabra
,
KH Chaiyachati
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Bayesian Nonparametric Method for Zero-Inflated Outcomes: Prediction, Clustering, and Causal Inference
Researchers are often interested in predicting outcomes, detecting distinct subgroups of their data, or estimating causal treatment …
A. Oganisian
,
Nandita Mitra
,
Jason Roy
Preprint
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Project
Project
A Bayesian latent class approach for EHR‐based phenotyping
Rebecca A. Hubbard
,
Jing Huang
,
Joanna Harton
,
A. Oganisian
,
Grace Choi
,
Levon Utidjian
,
Ihuoma Eneli
,
L. Charles Bailey
,
Yong Chen
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