Flexible Parametric Survival Analysis Using Stata: Beyond the Cox Model by Royston, Patrick

Flexible Parametric Survival Analysis Using Stata: Beyond the Cox Model (Paperback) (ISBN-13: 9781597180795)

Vendor: Patrick Royston
Product type: Books
Format: Paperback
$90.95
$90.95
$90.95
Subtotal: $90.95
Flexible Parametric Survival Analysis Using Stata: Beyond the Cox Model by Royston, Patrick

Flexible Parametric Survival Analysis Using Stata: Beyond the Cox Model

$90.95
Flexible Parametric Survival Analysis Using Stata: Beyond the Cox Model by Royston, Patrick

Flexible Parametric Survival Analysis Using Stata: Beyond the Cox Model

$90.95
Format: Paperback
Description
Description
x
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.

Author: Patrick Royston, Paul C. Lambert
ISBN-10: 1597180793
ISBN-13: 9781597180795
Publisher: Stata Press
Language: English
Published: 08/04/2011
Pages: 339
Format: Paperback
Weight: 1.65lbs
Size: 9.20h x 7.20w x 0.90d
By Patrick Royston
By Patrick Royston
x

Patrick Royston is a senior medical statistician at the Medical Research Council, London, UK. He has published research papers on a variety of topics in leading statistics journals. His key interests include multivariable modeling and validation, survival analysis, design and analysis of clinical trials, and statistical computing and algorithms. He is an associate editor of the Stata Journal.

Paul Lambert is a reader in medical statistics at Leicester University, UK. His main interest is in the development and application of statistical methods in population-based cancer research and related fields. He has published widely in leading statistical and medical journals.

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