Bayesian Nonparametric Model for Heterogeneous Treatment Effects With Zero‐Inflated Data

Chanmin Kim, Yisheng Li, Ting Xu, Zhongxing Liao

Type: Article

Publication Date: 2024-11-28

Citations: 0

DOI: https://doi.org/10.1002/sim.10266

View Publication

Locations

PubMed - View
Statistics in Medicine - View

Similar Works

Action	Title	Year	Authors
+ PDF Chat	Bayesian nonparametric mixtures of categorical directed graphs for heterogeneous causal inference	2024	Federico Castelletti Laura Ferrini
+ PDF Chat	Bayesian analysis of heterogeneous treatment effects for patient-centered outcomes research	2016	Nicholas C. Henderson Thomas A. Louis Chenguang Wang Ravi Varadhan
+ PDF Chat	BNPqte: A Bayesian Nonparametric Approach to Causal Inference on Quantiles in R	2021	Chuji Luo Michael J. Daniels
+	BNPqte: A Bayesian Nonparametric Approach to Causal Inference on Quantiles in R	2021	Chuji Luo Michael J. Daniels
+	A Bayesian nonparametric causal inference model for synthesizing randomized clinical trial and real‐world evidence	2019	Chenguang Wang Gary L. Rosner
+	A practical introduction to Bayesian estimation of causal effects: Parametric and nonparametric approaches	2020	Arman Oganisian Jason Roy
+	A Bayesian Nonparametric Method for Estimating Causal Treatment Effects on Zero-Inflated Outcomes	2018	Arman Oganisian Nandita Mitra Jason Roy
+	A Bayesian Non-parametric Approach for Causal Mediation with a Post-treatment Confounder	2023	Woojung Bae Michael J. Daniels Michael G. Perri
+	beanz: Bayesian Analysis of Heterogeneous Treatment Effect	2016
+	A Practical Introduction to Bayesian Estimation of Causal Effects: Parametric and Nonparametric Approaches	2020	Arman Oganisian Jason Roy
+	A Practical Introduction to Bayesian Estimation of Causal Effects: Parametric and Nonparametric Approaches	2020	Arman Oganisian Jason Roy
+	Identifying Heterogeneous Treatment Effects in Multiple Outcomes using Joint Confidence Intervals	2022	Peniel N. Argaw Elizabeth A. Healey Isaac S. Kohane
+	Bayesian Causal Synthesis for Supra-Inference on Heterogeneous Treatment Effects	2023	Shonosuke Sugasawa Kōsaku Takanashi Kenichiro McAlinn
+ PDF Chat	Bayesian Index Models for Heterogeneous Treatment Effects on a Binary Outcome	2023	Hyung Park Danni Wu Eva Petkova Thaddeus Tarpey R. Todd Ogden
+	Debiased Bayesian inference for average treatment effects	2019	Kolyan Ray Botond Szabó
+	Debiased Bayesian inference for average treatment effects	2019	Kolyan Ray Botond Szabó
+ PDF Chat	Nonparametric Bayesian approach for dynamic borrowing of historical control data	2024	Tomohiro Ohigashi Kazushi Maruo Takashi Sozu Masahiko Gosho
+ PDF Chat	Bayesian hierarchical models with calibrated mixtures of g-priors for assessing treatment effect moderation in meta-analysis	2024	Qiao Wang Hwanhee Hong
+	Individualized Treatment Effects with Censored Data via Fully Nonparametric Bayesian Accelerated Failure Time Models	2017	Nicholas C. Henderson Thomas A. Louis Gary L. Rosner Ravi Varadhan
+	Individualized Treatment Effects with Censored Data via Fully Nonparametric Bayesian Accelerated Failure Time Models	2017	Nicholas C. Henderson Thomas A. Louis Gary L. Rosner Ravi Varadhan

Works That Cite This (0)

Action	Title	Year	Authors

Works Cited by This (33)

Action	Title	Year	Authors
+	Marginal Structural Models versus Structural nested Models as Tools for Causal inference	2000	James M. Robins
+ PDF Chat	Bayesian Nonparametric Estimation for Dynamic Treatment Regimes With Sequential Transition Times	2015	Yanxun Xu Peter Müller Abdus S. Wahed Peter F. Thall
+ PDF Chat	Responder identification in clinical trials with censored data	2004	Victoria Kehl Kurt Ulm
+ PDF Chat	Subgroup identification from randomized clinical trial data	2011	Jared C. Foster Jeremy M. G. Taylor Stephen J. Ruberg
+ PDF Chat	A Bayesian nonparametric causal model	2011	George Karabatsos Stephen G. Walker
+	Improved criteria for clustering based on the posterior similarity matrix	2009	Arno Fritsch Katja Ickstadt
+ PDF Chat	Semiparametric regression during 2003–2007	2009	David Ruppert M. P. Wand Raymond J. Carroll
+	Concerning the Consistency Assumption in Causal Inference	2009	Tyler J. VanderWeele
+	Bayesian Nonparametric Modeling for Causal Inference	2010	Jennifer Hill
+	Markov Chain Sampling Methods for Dirichlet Process Mixture Models	2000	Radford M. Neal