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Title:
Survival Analysis: Techniques for Censored and Truncated Data | SpringerLink
Description:
Applied statisticians in many fields must frequently analyze time to event data. While the statistical tools presented in this book are applicable to data from medicine, biology, public health, epidemiology, engineering, economics, and demography, the focus here is on applications of the techniques to biology and medicine. The analysis of survival experiments is complicated by issues of censoring, where an individual
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Keywords {🔍}

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Topics {✒️}

left-truncated data john device instant download real-life experiences illustrate privacy choices/manage cookies survival data john discusses parametric models give readers information univariate estimation john nonparametric methods extensively excellent graduate-level text bivariate survival functions sampling schemes john fixed covariates john american statistical association numerous detailed examples european economic area possibly controversial feature conditions privacy policy pdf read social media makes pleasant reading survival analysis applied statistics background technical difficulty involved statistical tools presented good reference source advanced mathematical background strong mathematical background accepting optional cookies public health professionals authors’ systematic treatment competing risks section models john public health division scientists engaged counting process methodology frequently analyze time short book reviews masters-level students event data subject journal finder publish book applied statisticians usage analysis analysis oftime personal data medical data … book series moeschberger part survival experiments textbook

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      keywords:Analysis, Censoring, Statistical Method, Survival analysis, Truncated Data, statistics
      description:Applied statisticians in many fields must frequently analyze time to event data. While the statistical tools presented in this book are applicable to data from medicine, biology, public health, epidem
      copyrightYear:2003
      name:Survival Analysis
      numberOfPages:16
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