strcs: A command for fitting flexible parametric survival models on the log-hazard scale
Hannah Bower
Department of Medical Epidemiology and Biostatistics
Karolinska Institutet
Stockholm, Sweden
[email protected]
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Michael J. Crowther
Department of Medical Epidemiology and Biostatistics
Karolinska Institutet
Stockholm, Sweden
and
Department of Health Sciences
University of Leicester
Leicester, UK
[email protected]
|
Paul C. Lambert
Department of Medical Epidemiology and Biostatistics
Karolinska Institutet
Stockholm, Sweden
and
Department of Health Sciences
University of Leicester
Leicester, UK
[email protected]
|
Abstract. 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.
View all articles by these authors:
Hannah Bower, Michael J. Crowther, Paul C. Lambert
View all articles with these keywords:
strcs, strcs postestimation, flexible parametric survival model, log-hazard scale
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