Flexible Parametric Survival Analysis Using Stata

Beyond the Cox Model

Häftad, Engelska, 2011

1 409 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

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.

Produktinformation

Utgivningsdatum2011-08-04
Mått152 x 229 x 22 mm
Vikt748 g
FormatHäftad
SpråkEngelska
Antal sidor339
FörlagStata Press
ISBN9781597180795

Tillhör följande kategorier

Epidemiologi och medicinsk statistik inom Medicin

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.