strcs: A command for fitting flexible parametric survival models on the log-hazard scale. In this article, we describe strcs, a user-written command for fitting flexible parametric survival models on the log-hazard scale. strcs is an extension of the user-written stgenreg command (Crowther and Lambert, 2013b, Journal of Statistical Software 53(12): 1–17), which fits general parametric models with user-defined hazard functions using numerical integration. strcs implements a two-step method that incorporates both analytical and numerical integration to estimate the cumulative hazard function required for the log-likelihood function. This method improves the accuracy of the fully numeric estimation implemented in stgenreg. Time-dependent effects can be incorporated, and excess mortality models can be fit by using the available options. We also describe some of the extensive postestimation commands that are easily implemented after fitting an strcs model.
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References in zbMATH (referenced in 2 articles )
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- Bower, Hannah; Crowther, Michael J.; Rutherford, Mark J.; Andersson, Therese M.-L.; Clements, Mark; Liu, Xing-Rong; Dickman, Paul W.; Lambert, Paul C.: Capturing simple and complex time-dependent effects using flexible parametric survival models: a simulation study (2021)
- Hadrien Charvat, Aurelien Belot: mexhaz: An R Package for Fitting Flexible Hazard-Based Regression Models for Overall and Excess Mortality with a Random Effect (2021) not zbMATH