This repository contains real data applications and R code for the analysis of near-redundancy and practical non-identifiability of survival models in
Rubio, F.J., Espindola, J.A., and Montoya, J.A. (2023). On near-redundancy and identifiability of parametric hazard regression models under censoring. Biometrical Journal, 65: 2300006.
Two real-data examples that illustrate the use of the proposed methodology for detecting near-redundancy and practical non-identifiability of parameters can be found at:
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Near Redundancy and Practical non-identifiability: Leukemia data
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Near Redundancy and Practical non-identifiability: Lung cancer data
See also: HazReg