Isbn: 9781597180795 - flexible parametric survival analysis using stata: beyond the cox model (14 Ergebnisse)

Paperback. Zustand: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Paperback. Zustand: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Paperback. Zustand: Very Good. Very Good - . In very good condition. In shrink-wrap.

Zustand: new. New.

Paperback. Zustand: new. Paperback. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback / softback. Zustand: New. New copy - Usually dispatched within 4 working days.

Zustand: New. pp. xxvi + 347.

Paperback. Zustand: Brand New. 339 pages. 9.20x7.20x0.90 inches. In Stock.

Zustand: New. pp. xxvi + 347.

Paperback. Zustand: new. Paperback. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Zustand: New. 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 va.

Couverture souple. Zustand: Neuf.

Taschenbuch. Zustand: Neu. Neuware - 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.…

Zustand: New. pp. xxvi + 347 Illus. This item is printed on demand.