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Recent developments in the fitting and assessment of flexible parametric survival models

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  • Paul Lambert

    (University of Leicester)

Abstract

Flexible parametric survival models are an alternative to the Cox proportional hazards model and more standard parametric models for the modeling of survival (time-to-event) data. They are

Suggested Citation

  • Paul Lambert, 2024. "Recent developments in the fitting and assessment of flexible parametric survival models," German Stata Conference 2024 01, Stata Users Group.
    • Handle: RePEc:boc:dsug24:01
    as

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    File URL: http://repec.org/dsug2024/Germany24_Lambert.pdf
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    References listed on IDEAS

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    1. Patrick Royston & Paul C. Lambert, 2011. "Flexible Parametric Survival Analysis Using Stata: Beyond the Cox Model," Stata Press books, StataCorp LP, number fpsaus, March.
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