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Modelling Survival Data in Medical Research

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kr 141

Modelling Survival Data in Medical Research

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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.

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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.

Produktdetaljer
Sprog: Engelsk
Sider: 540
ISBN-13: 9781032252858
Indbinding: Hardback
Udgave:
ISBN-10: 1032252855
Udg. Dato: 31 maj 2023
Længde: 37mm
Bredde: 184mm
Højde: 262mm
Forlag: Taylor & Francis Ltd
Oplagsdato: 31 maj 2023
Forfatter(e) David (UK Transplant Collett, David Collett


Kategori Epidemiologi og medicinsk statistik


Sprog Engelsk


Indbinding Hardback


Sider 540


Udgave


Længde 37mm


Bredde 184mm


Højde 262mm


Udg. Dato 31 maj 2023


Oplagsdato 31 maj 2023

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