Minimizing Bias In Parametric Survival Analyses Of Published Kaplan-Meier Curves
نویسندگان
چکیده
منابع مشابه
Enhanced secondary analysis of survival data: reconstructing the data from published Kaplan-Meier survival curves
BACKGROUND The results of Randomized Controlled Trials (RCTs) on time-to-event outcomes that are usually reported are median time to events and Cox Hazard Ratio. These do not constitute the sufficient statistics required for meta-analysis or cost-effectiveness analysis, and their use in secondary analyses requires strong assumptions that may not have been adequately tested. In order to enhance ...
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The need for analyzing time to event data arises in a number of applied fields, such as epidemiology, public health and medicine [1]. ‘Time to event’ simply means the time from entry into a study until a subject has a particular outcome. The study that involves time to event can be a cohort study on a specific number of patients or participants which should be followed for a particular time per...
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The Kaplan–Meier estimator is a nonparametric estimator which may be used to estimate the survival distribution function from censored data. The estimator may be obtained as the limiting case of the classical actuarial (life table) estimator, and it seems to have been first proposed by Böhmer [2]. It was, however, lost sight of by later researchers and not investigated further until the importa...
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ژورنال
عنوان ژورنال: Value in Health
سال: 2017
ISSN: 1098-3015
DOI: 10.1016/j.jval.2017.08.2193