Nonparametric and Parametric Survival Analysis of Censored Data with Possible Violation of Method Assumptions

Nonparametric and Parametric Survival Analysis of Censored Data with Possible Violation of Method Assumptions
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Published on 2008 by ProQuest

This ebook tells about Results are given for simulations which use nonparametric and parametric estimation methods on censored data. The simulated data sets have right-, left-, or interval-censored time points. Comparisons are done on various types of data to see which survival function estimation methods are more suitable. We consider scenarios where distributional assumptions or censoring type assumptions are violated. Another goal of this research is to examine the effects of these incorrect assumptions.

This Book was ranked 31 by Google Books for keyword Survival Analysis.

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Nonparametric and Parametric Survival Analysis of Censored Data with Possible Violation of Method Assumptions
Results are given for simulations which use nonparametric and parametric estimation methods on censored data. The simulated data sets have right-, left-, or interval-censored time points.

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