Fitting Accelerated Failure Time Models in Routine Survival Analysis withRPackageaftgee
نویسندگان
چکیده
منابع مشابه
Survival analysis of thalassemia major patients using Cox, Gompertz proportional hazard and Weibull accelerated failure time models
Background: Thalassemia major (TM) is a severe disease and the most common anemia worldwide. The survival time of the disease and its risk factors are of importance for physicians. The present study was conducted to apply the semi-parametric Cox PH model and use parametric proportional hazards (PH) and accelerated failure time (AFT) models to identify the risk factors related to survival of TM ...
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BACKGROUND In the absence of unmeasured confounding factors and model misspecification, standard methods for estimating the causal effect of time-varying treatments on survival are biased when (i) there exists a time-dependent risk factor for survival that also predicts subsequent treatment and (ii) past treatment history predicts subsequent risk factor level. In contrast, structural models pro...
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OBJECTIVE Survival time is an important type of outcome variable in treatment research. Currently, limited guidance is available regarding performing mediation analyses with survival outcomes, which generally do not have normally distributed errors, and contain unobserved (censored) events. We present considerations for choosing an approach, using a comparison of semi-parametric proportional ha...
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There is an increasing interest in life-course epidemiology (Ben-Shlomo 2007; Ben-Shlomo and Kuh 2002), with the quantification of the effects of exposures over long periods of time. For example, several papers recently have examined the effects of socioeconomic position at different stages of life, and changes in that exposure between these stages, on outcomes including risk of stroke and resp...
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ژورنال
عنوان ژورنال: Journal of Statistical Software
سال: 2014
ISSN: 1548-7660
DOI: 10.18637/jss.v061.i11