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20192024
most citedMeasurement error and precision medicine: error-prone tailoring covariates in dynamic treatment regimes

8 citations · 17 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2024

Optimal Dynamic Treatment Regime Estimation in the Presence of Nonadherence

Dylan Spicker, Michael P. Wallace, Grace Y. Yi

Dynamic treatment regimes (DTRs) are sequences of functions that formalize the process of precision medicine. DTRs take as input patient information and output treatment recommenda…

cs.LG2023★ 2 cited

Challenges for Predictive Modeling with Neural Network Techniques using Error-Prone Dietary Intake Data

Dylan Spicker, Amir Nazemi, Joy Hutchinson +4

Dietary intake data are routinely drawn upon to explore diet-health relationships. However, these data are often subject to measurement error, distorting the true relationships. Be…

stat.ME2021★ 7 cited

Nonparametric Simulation Extrapolation for Measurement Error Models

Dylan Spicker, Michael Wallace, Grace Yi

The presence of measurement error is a widespread issue which, when ignored, can render the results of an analysis unreliable. Numerous corrections for the effects of measurement e…

stat.ME2021

Generalizations to Corrections for the Effects of Measurement Error in Approximately Consistent Methodologies

Dylan Spicker, Michael P Wallace, Grace Y Yi

Measurement error is a pervasive issue which renders the results of an analysis unreliable. The measurement error literature contains numerous correction techniques, which can be b…

stat.ME2019★ 8 cited

Measurement error and precision medicine: error-prone tailoring covariates in dynamic treatment regimes

Dylan Spicker, Michael Wallace

Precision medicine incorporates patient-level covariates to tailor treatment decisions, seeking to improve outcomes. In longitudinal studies with time-varying covariates and sequen…