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20172025
most citedA causal approach to analysis of censored medical costs in the presence of time-varying treatment

1 citations · 1 across the 9 of their papers we have counts for

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9 papers · 1 filter

stat.ME2025

Estimating treatment effects with a unified semi-parametric difference-in-differences approach

Julia C. Thome, Andrew J. Spieker, Peter F. Rebeiro +3

Difference-in-differences (DID) approaches are widely used for estimating causal effects with observational data before and after an intervention. DID traditionally estimates the a…

stat.ME2024

An overview of methods for receiver operating characteristic analysis, with an application to SARS-CoV-2 vaccine-induced humoral responses in solid organ transplant recipients

Nathaniel P. Dowd, Bryan Blette, James D. Chappell +2

Receiver operating characteristic (ROC) analysis is a tool to evaluate the capacity of a numeric measure to distinguish between groups, often employed in the evaluation of diagnost…

stat.ME2024

Understanding Difference-in-differences methods to evaluate policy effects with staggered adoption: an application to Medicaid and HIV

Julia C. Thome, Peter F. Rebeiro, Andrew J. Spieker +1

While a randomized control trial is considered the gold standard for estimating causal treatment effects, there are many research settings in which randomization is infeasible or u…

stat.ME2021

Identifying optimally cost-effective dynamic treatment regimes with a Q-learning approach

Nicholas Illenberger, Andrew J. Spieker, Nandita Mitra

Health policy decisions regarding patient treatment strategies require consideration of both treatment effectiveness and cost. Optimizing treatment rules with respect to effectiven…

stat.ME2021

A regression framework for a probabilistic measure of cost-effectiveness

Nicholas Illenberger, Nandita Mitra, Andrew J. Spieker

To make informed health policy decisions regarding a treatment, we must consider both its cost and its clinical effectiveness. In past work, we introduced the net benefit separatio…

stat.ME2021

Semi-parametric estimation of biomarker age trends with endogenous medication use in longitudinal data

Andrew J. Spieker, Joseph A. C. Delaney, Robyn L. McClelland

In cohort studies, non-random medication use can pose barriers to estimation of the natural history trend in a mean biomarker value (namely, the association between a predictor of…