Publications [#346696] of Cynthia D. Rudin

Papers Published

1. Wang, F; Rudin, C; Mccormick, TH; Gore, JL, Modeling recovery curves with application to prostatectomy., Biostatistics (Oxford, England), vol. 20 no. 4 (October, 2019), pp. 549-564 [doi]
   (last updated on 2024/04/24)

   Abstract:
   In many clinical settings, a patient outcome takes the form of a scalar time series with a recovery curve shape, which is characterized by a sharp drop due to a disruptive event (e.g., surgery) and subsequent monotonic smooth rise towards an asymptotic level not exceeding the pre-event value. We propose a Bayesian model that predicts recovery curves based on information available before the disruptive event. A recovery curve of interest is the quantified sexual function of prostate cancer patients after prostatectomy surgery. We illustrate the utility of our model as a pre-treatment medical decision aid, producing personalized predictions that are both interpretable and accurate. We uncover covariate relationships that agree with and supplement that in existing medical literature.