Transcription of streg — Parametric survival models - Stata
{{id}} {{{paragraph}}}
Parametric survival modelsDescriptionQuick startMenuSyntaxOptionsRemarks and examplesStored resultsMethods and formulasReferencesAlso seeDescriptionstregperforms maximum likelihood estimation for Parametric regression survival -time be used with single- or multiple-record or single- or multiple-failure st data. Survivalmodels currently supported are exponential, Weibull, Gompertz, lognormal, loglogistic, and generalizedgamma. Parametric frailty models and shared-frailty models are also fit see [ST]stcoxfor proportional hazards startWeibull survival model with covariatesx1andx2usingstsetdatastreg x1 x2, distribution(weibull)Use accelerated failure-time metric instead of proportional-hazards parameterizationstreg x1 x2, distribution(weibull) t
models currently supported are exponential, Weibull, Gompertz, lognormal, loglogistic, and generalized gamma. Parametric frailty models and shared-frailty models are also fit using streg. Also see[ST] stcox for proportional hazards models. Quick start Weibull survival model with covariates x1 and x2 using stset data streg x1 x2, distribution ...
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document:
{{id}} {{{paragraph}}}