3 papers
stat.ME2026
Nonparametric regression with dependent censoring or competing risks
Jia-Han Shih, Simon M. S. Lo, Ralf A. Wilke
Single-index models or time-to-event models are frequently applied in empirical research. These models are non-identifiable in presence of unknown (dependent) censoring or competin…
stat.ME2025
On the implications of proportional hazards assumptions for competing risks modelling
Simon M. S. Lo, Ralf A. Wilke, Takeshi Emura
The assumption of hazard rates being proportional in covariates is widely made in empirical research and extensive research has been done to develop tests of its validity. This pap…
stat.ME2023
Identifiability and estimation of the competing risks model under exclusion restrictions
Munir Hiabu, Simon M. S. LU, Ralf A. Wilke
The non-identifiability of the competing risks model requires researchers to work with restrictions on the model to obtain informative results. We present a new identifiability sol…