2 papers
stat.AP2025
Generalisable prediction model of surgical case duration: multicentre development and temporal validation
Daijiro Kabata, Mari Ito, Tokito Koga +1
Background: Accurate prediction of surgical case duration underpins operating room (OR) scheduling, yet existing models often depend on site- or surgeon-specific inputs and rarely…
stat.ME2025
Quantifying uncertainty of individualized treatment effects in right-censored survival data: A comparison of Bayesian additive regression trees and causal survival forest
Daijiro Kabata, Nicholas C. Henderson, Ravi Varadhan
Estimation of individualized treatment effects (ITE), also known as conditional average treatment effects (CATE), is an active area of methodology development. However, much less a…