Chapman & Hall/CRC Texts in Statistical Science- Modelling Survival Data in Medical Research

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  • Engels
  • Hardcover
  • 9781032252858
  • 31 mei 2023
  • 536 pagina's
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Samenvatting

Fourth edition has new chapters on Bayesian survival analysis and use of the R software. Chapters extensively revised, expanded to add new material on topics that include methods for assessing predictive ability of a model, joint models for longitudinal and survival data, modern methods for the analysis of interval-censored survival data.



Modelling Survival Data in Medical Research, Fourth Edition, describes the analysis of survival data, illustrated using a wide range of examples from biomedical research. Written in a non-technical style, it concentrates on how the techniques are used in practice. Starting with standard methods for summarising survival data, Cox regression and parametric modelling, the book covers many more advanced techniques, including interval-censoring, frailty modelling, competing risks, analysis of multiple events, and dependent censoring.

This new edition contains chapters on Bayesian survival analysis and use of the R software. Earlier chapters have been extensively revised and expanded to add new material on several topics. These include methods for assessing the predictive ability of a model, joint models for longitudinal and survival data, and modern methods for the analysis of interval-censored survival data.

Features:

  • Presents an accessible account of a wide range of statistical methods for analysing survival data
  • Contains practical guidance on modelling survival data from the author’s many years of experience in teaching and consultancy
  • Shows how Bayesian methods can be used to analyse survival data
  • Includes details on how R can be used to carry out all the methods described, with guidance on the interpretation of the resulting output
  • Contains many real data examples and additional data sets that can be used for coursework
  • All data sets used are available in electronic format from the publisher’s website

Modelling Survival Data in Medical Research, Fourth Edition, is an invaluable resource for statisticians in the pharmaceutical industry and biomedical research centres, research scientists and clinicians who are analysing their own data, and students following undergraduate or postgraduate courses in survival analysis.

Productspecificaties

Inhoud

Taal
en
Bindwijze
Hardcover
Oorspronkelijke releasedatum
31 mei 2023
Aantal pagina's
536
Illustraties
Nee

Betrokkenen

Hoofdauteur
David Collett
Tweede Auteur
Collett
Co Auteur
David Collett
Hoofduitgeverij
Chapman & Hall/Crc

Overige kenmerken

Editie
4
Product breedte
178 mm
Product lengte
254 mm
Studieboek
Nee
Verpakking breedte
178 mm
Verpakking hoogte
254 mm
Verpakking lengte
254 mm
Verpakkingsgewicht
1160 g

EAN

EAN
9781032252858
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