Comput Methods Programs Biomed - PSHREG: a SAS macro for proportional and nonproportional subdistribution hazards regression.

Tópicos

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Resumo

We present a new SAS macro %pshreg that can be used to fit a proportional subdistribution hazards model for survival data subject to competing risks. Our macro first modifies the input data set appropriately and then applies SAS's standard Cox regression procedure, PROC PHREG, using weights and counting-process style of specifying survival times to the modified data set. The modified data set can also be used to estimate cumulative incidence curves for the event of interest. The application of PROC PHREG has several advantages, e.g., it directly enables the user to apply the Firth correction, which has been proposed as a solution to the problem of undefined (infinite) maximum likelihood estimates in Cox regression, frequently encountered in small sample analyses. Deviation from proportional subdistribution hazards can be detected by both inspecting Schoenfeld-type residuals and testing correlation of these residuals with time, or by including interactions of covariates with functions of time. We illustrate application of these extended methods for competing risk regression using our macro, which is freely available at: http://cemsiis.meduniwien.ac.at/en/kb/science-research/software/statistical-software/pshreg, by means of analysis of a real chronic kidney disease study. We discuss differences in features and capabilities of %pshreg and the recent (January 2014) SAS PROC PHREG implementation of proportional subdistribution hazards modelling.

Resumo Limpo

present new sas macro pshreg can use fit proport subdistribut hazard model surviv data subject compet risk macro first modifi input data set appropri appli sass standard cox regress procedur proc phreg use weight countingprocess style specifi surviv time modifi data set modifi data set can also use estim cumul incid curv event interest applic proc phreg sever advantag eg direct enabl user appli firth correct propos solut problem undefin infinit maximum likelihood estim cox regress frequent encount small sampl analys deviat proport subdistribut hazard can detect inspect schoenfeldtyp residu test correl residu time includ interact covari function time illustr applic extend method compet risk regress use macro freeli avail httpcemsiismeduniwienacatenkbscienceresearchsoftwarestatisticalsoftwarepshreg mean analysi real chronic kidney diseas studi discuss differ featur capabl pshreg recent januari sas proc phreg implement proport subdistribut hazard model

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