Cantitate/Preț
Produs

Multivariate Survival Analysis and Competing Risks: Chapman & Hall/CRC Texts in Statistical Science

Autor Martin J. Crowder
en Limba Engleză Paperback – 16 noi 2016
Multivariate Survival Analysis and Competing Risks introduces univariate survival analysis and extends it to the multivariate case. It covers competing risks and counting processes and provides many real-world examples, exercises, and R code. The text discusses survival data, survival distributions, frailty models, parametric methods, multivariate data and distributions, copulas, continuous failure, parametric likelihood inference, and non- and semi-parametric methods.
There are many books covering survival analysis, but very few that cover the multivariate case in any depth. Written for a graduate-level audience in statistics/biostatistics, this book includes practical exercises and R code for the examples. The author is renowned for his clear writing style, and this book continues that trend. It is an excellent reference for graduate students and researchers looking for grounding in this burgeoning field of research.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 45573 lei  6-8 săpt.
  CRC Press – 16 noi 2016 45573 lei  6-8 săpt.
Hardback (1) 109521 lei  6-8 săpt.
  CRC Press – 17 apr 2012 109521 lei  6-8 săpt.

Din seria Chapman & Hall/CRC Texts in Statistical Science

Preț: 45573 lei

Preț vechi: 53615 lei
-15% Nou

Puncte Express: 684

Preț estimativ în valută:
8723 9067$ 7225£

Carte tipărită la comandă

Livrare economică 05-19 februarie 25

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9781138199606
ISBN-10: 1138199605
Pagini: 418
Ilustrații: 32 Tables, black and white; 24 Illustrations, black and white
Dimensiuni: 156 x 234 x 32 mm
Greutate: 0.57 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Seria Chapman & Hall/CRC Texts in Statistical Science


Cuprins

Univariate Survival Analysis: Survival Data. Survival Distributions. Frailty Models. Parametric Methods. Discrete Time: Non- And Semi-Parametric Methods. Continuous-Time: Non- And Semi-Parametric Methods. Multivariate Survival Analysis: Multivariate Data and Distributions. Frailty and Copulas. Repeated Measure. Wear and Degradation. Competing Risks: Continuous Failure Times And Their Causes. Parametric Likelihood Inference. Latent Failure Times: Probability Distributions. Discrete Failure Times in Competing Risks. Hazard-Based Methods for Continuous Failure Times. Latent Failure Times: Identifiability Crises. Counting Processes in Survival Analysis: Some Basic Concepts. Survival Analysis. Non- And Semi-Parametric Methods.

Recenzii

"Dr. Crowder’s book provides a comprehensive overview of various distributions and models that have been proposed for multivariate survival data and competing risks data. The book is divided into four parts. … The material discussed in each topic is succinct, which provides enough detail to follow and includes relevant references for interested audience to dig deeper. The accompanying real-world data examples and R code are extremely handy for anyone who would like to explore those methods. … Despite the advanced topics it covers, the book is a pleasant read, as the presentation style is entertaining. …
All together the book is very suitable for an advanced survival analysis course for its broad range of topics."
—Yu Cheng, University of Pittsburgh, in the LIDA-IG Newsletter, January 2018
"… the book is interesting to read, [and] the author’s writing style is both entertaining and to the point …"
ISCB News, December 2015
"… a nice addition to the previous edition is the inclusion of R code and datasets, which are available online. … this book is a useful addition to the literature, which undergraduate as well as graduate students in statistics will appreciate."
Australian & New Zealand Journal of Statistics, 56(4), 2014
"Crowder is known for his clear expositions and chatty style, and this book does not disappoint. It is a pleasant read. The introduction to R will be useful, as will the exercises at the end of each chapter. … With its exercises and easy style, this book is very suitable as an upper-level text. It is easy to jump into later chapters without much back pedaling and this makes it a useful reference work."
—Roger M. Cooke, Journal of the American Statistical Association, September 2014, Vol. 109

Descriere

Suitable for graduate students and researchers in statistics and biostatistics as well as those in the medical field, epidemiology, and social sciences, this book introduces univariate survival analysis and extends it to the multivariate case. It also covers competing risks and counting processes and provides many real-world examples, exercises, and R code. The text discusses survival data, survival distributions, frailty models, parametric methods, multivariate data and distributions, copulas, continuous failure, parametric likelihood inference, and non- and semi-parametric methods.