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04/25/2023
The impact of directly observed therapy on the efficacy of Tuberculosis treatment: A Bayesian multilevel approach
We propose and discuss a Bayesian procedure to estimate the average trea...
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03/27/2023
Bayesian inference for optimal dynamic treatment regimes in practice
In this work, we examine recently developed methods for Bayesian inferen...
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02/01/2023
Doubly Robust Estimation of Causal Effects in Network-Based Observational Studies
Causal inference on populations embedded in social networks poses techni...
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01/09/2023
A time-dependent Poisson-Gamma model for recruitment forecasting in multicenter studies
Forecasting recruitments is a key component of the monitoring phase of m...
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10/24/2022
Dynamic Treatment Regimes using Bayesian Additive Regression Trees for Censored Outcomes
To achieve the goal of providing the best possible care to each patient,...
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02/19/2022
Estimating Individualized Treatment Rules in Longitudinal Studies with Covariate-Driven Observation Times
The sequential treatment decisions made by physicians to treat chronic d...
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02/18/2022
Using Pilot Data to Size Observational Studies for the Estimation of Dynamic Treatment Regimes
There has been significant attention given to developing data-driven met...
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02/18/2022
Monte Carlo Sensitivity Analysis for Unmeasured Confounding in Dynamic Treatment Regimes
Data-driven methods for personalizing treatment assignment have garnered...
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01/30/2022
Causal inference under mis-specification: adjustment based on the propensity score
We study Bayesian approaches to causal inference via propensity score re...
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01/07/2022
New designs for Bayesian adaptive cluster-randomized trials
Adaptive approaches, allowing for more flexible trial design, have been ...
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12/21/2021
Estimating the Marginal Effect of a Continuous Exposure on an Ordinal Outcome using Data Subject to Covariate-Driven Treatment and Visit Processes
In the statistical literature, a number of methods have been proposed to...
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09/08/2021
Causal Inference for Quantile Treatment Effects
Analyses of environmental phenomena often are concerned with understandi...
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09/02/2021
Evaluating the Use of Generalized Dynamic Weighted Ordinary Least Squares for Individualized HIV Treatment Strategies
Dynamic treatment regimes (DTR) are a statistical paradigm in precision ...
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08/02/2021
Bayesian Sample Size Calculations for SMART Studies
In the management of most chronic conditions characterized by the lack o...
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06/28/2021
Estimation of the marginal effect of antidepressants on body mass index under confounding and endogenous covariate-driven monitoring times
In studying the marginal effect of antidepressants on body mass index us...
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05/25/2021
Estimation of Optimal Dynamic Treatment Regimes via Gaussian Process Emulation: A Technical Report
Causal inference of treatment effects is a challenging undertaking in it...
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12/01/2020
General Regression Methods for Respondent-Driven Sampling Data
Respondent-Driven Sampling (RDS) is a variant of link-tracing sampling t...
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10/01/2020
Neighbourhood Bootstrap for Respondent-Driven Sampling
Respondent-Driven Sampling (RDS) is a form of link-tracing sampling, a s...
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06/02/2020
The role of exchangeability in causal inference
The notion of exchangeability has been recognized in the causal inferenc...
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02/13/2020
