Terry Therneau is a statistician working on survival analysis and statistical software. His Mayo Clinic profile identifies continuous-time multi-state models for time-to-event data as a focus, connecting statistical methods with the analysis of transitions between observed states.[ref]
https://www.mayo.edu/research/faculty/therneau-terry-m-ph-d/bio-00025991. Institutional profile: survival analysis and multistate time-to-event models
His A package for survival analysis in R by Terry Therneau documents tools for Cox proportional-hazards models and the handling of censoring. A censored observation still conveys information: a subject observed without an event through time contributes a survival probability through , rather than being discarded. The software's treatment of risk sets and tied event times makes the statistical model's assumptions part of the computation.[ref]
A package for survival analysis in R by Terry Therneau. Sections 1.4 and 3.1; section 5.1 on ties and partial likelihood
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