1 citations · 1 across the 9 of their papers we have counts for
9 papers
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 estimate causal effects with observational data before and after an intervention. DID traditionally estimates the average treatment effec…
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…
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…
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…
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…
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…
Bounding the local average treatment effect in an instrumental variable analysis of engagement with a mobile intervention
Andrew J. Spieker, Robert A. Greevy, Lyndsay A. Nelson +1
Estimation of local average treatment effects in randomized trials typically requires an assumption known as the exclusion restriction in cases where we are unwilling to rule out u…
Net benefit separation and the determination curve: a probabilistic framework for cost-effectiveness estimation
Andrew J. Spieker, Nicholas Illenberger, Jason A. Roy +1
Considerations regarding clinical effectiveness and cost are essential in comparing the overall value of two treatments. There has been growing interest in methodology to integrate…
A causal approach to analysis of censored medical costs in the presence of time-varying treatment
Andrew J. Spieker, Arman Oganisian, Emily M. Ko +2
There has recently been a growing interest in the development of statistical methods to compare medical costs between treatment groups. When cumulative cost is the outcome of inter…