Multiple imputation for competing risks survival data via pseudo-observations
نویسندگان
چکیده
منابع مشابه
Pseudo-observations for competing risks with covariate dependent censoring.
Regression analysis for competing risks data can be based on generalized estimating equations. For the case with right censored data, pseudo-values were proposed to solve the estimating equations. In this article we investigate robustness of the pseudo-values against violation of the assumption that the probability of not being lost to follow-up (un-censored) is independent of the covariates. M...
متن کاملSimulating competing risks data in survival analysis.
Competing risks analysis considers time-to-first-event ('survival time') and the event type ('cause'), possibly subject to right-censoring. The cause-, i.e. event-specific hazards, completely determine the competing risk process, but simulation studies often fall back on the much criticized latent failure time model. Cause-specific hazard-driven simulation appears to be the exception; if done, ...
متن کاملSurvival estimation and testing via multiple imputation
Multiple imputation is a technique for handling data sets with missing values. The method 0lls in each missing value several times, creating many augmented data sets. Each augmented data set is analyzed separately and the results combined to give a 0nal result consisting of an estimate and a measure of uncertainty. In this paper we consider nonparametric multiple-imputation methods to handle mi...
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ژورنال
عنوان ژورنال: Communications for Statistical Applications and Methods
سال: 2018
ISSN: 2383-4757
DOI: 10.29220/csam.2018.25.4.385