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Strcs: A command for fitting flexible parametric survival models on the log-hazard scale

journal contribution
posted on 2017-03-16, 15:09 authored by Hannah Bower, Michael J. Crowther, Paul C. Lambert
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.

History

Citation

Stata Journal, 2016, 16 (4), pp. 989-1012

Author affiliation

/Organisation/COLLEGE OF MEDICINE, BIOLOGICAL SCIENCES AND PSYCHOLOGY/School of Medicine/Department of Health Sciences

Version

  • AM (Accepted Manuscript)

Published in

Stata Journal

Publisher

StataCorp

issn

1536-867X

eissn

1536-8734

Copyright date

2016

Publisher version

http://www.stata-journal.com/article.html?article=st0462

Notes

The file associated with this record is under embargo while permission to archive is sought from the publisher. The full text may be available through the publisher links provided above.

Language

en

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