Description

Through real-world case studies, this book shows how to use Stata to estimate a class of flexible parametric survival models. It discusses the modeling of time-dependent and continuous covariates and looks at how relative survival can be used to measure mortality associated with a particular disease when the cause of death has not been recorded. The book describes simple quantification of differences between any two covariate patterns through calculation of time-dependent hazard ratios, hazard differences, and survival differences.

Flexible Parametric Survival Analysis Using Stata: Beyond the Cox Model

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£75.99

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Paperback / softback by Patrick Royston , Paul C. Lambert

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Through real-world case studies, this book shows how to use Stata to estimate a class of flexible parametric survival models.... Read more

    Publisher: Stata Press
    Publication Date: 04/08/2011
    ISBN13: 9781597180795, 978-1597180795
    ISBN10: 1597180793

    Number of Pages: 339

    Non Fiction , Mathematics & Science , Education

    Description

    Through real-world case studies, this book shows how to use Stata to estimate a class of flexible parametric survival models. It discusses the modeling of time-dependent and continuous covariates and looks at how relative survival can be used to measure mortality associated with a particular disease when the cause of death has not been recorded. The book describes simple quantification of differences between any two covariate patterns through calculation of time-dependent hazard ratios, hazard differences, and survival differences.

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