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Modelling Survival Data in Medical Research by David Collett Hardcover Book
US $143.02
ApproximatelyRM 604.65
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Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- ISBN-13
- 9781032252858
- Book Title
- Modelling Survival Data in Medical Research
- ISBN
- 9781032252858
About this product
Product Identifiers
Publisher
Taylor & Francis Group
ISBN-10
1032252855
ISBN-13
9781032252858
eBay Product ID (ePID)
27059027372
Product Key Features
Number of Pages
540 Pages
Publication Name
Modelling Survival Data in Medical Research
Language
English
Publication Year
2023
Subject
Biostatistics, Probability & Statistics / General, General
Type
Textbook
Subject Area
Mathematics, Medical
Series
Chapman and Hall/Crc Texts in Statistical Science Ser.
Format
Hardcover
Dimensions
Item Weight
42.1 Oz
Item Length
10 in
Item Width
7 in
Additional Product Features
Edition Number
4
LCCN
2022-049341
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
610.72/7
Table Of Content
1. Survival analysis 2. Some non-parametric procedures 3. The Cox regression model 4. Model checking in the Cox regression model 5. Parametric regression models 6. Flexible parametric models 7. Model checking in parametric models 8. Time-dependent variables 9. Interval-censored survival data 10. Frailty models 11. Non-proportional hazards and institutional comparisons 12 Competing risks 13. Multiple events and event history modelling 14. Dependent censoring 15. Sample size requirements for a survival study 16. Bayesian survival analysis 17. Survival Analysis with R
Synopsis
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.
LC Classification Number
R853.S7C65 2023
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Seller feedback (1,054,208)
- 0***f (41)- Feedback left by buyer.Past monthVerified purchaseVery happy with item. Thank you. A+
- 3***b (4)- Feedback left by buyer.Past monthVerified purchaseReceived it in great condition, will be ordering from this seller again. Thank you
- -***e (3)- Feedback left by buyer.Past monthVerified purchaseBook was not what I expected. They were kind and gracious and sent me a refund immediately which made me very happy I would buy from this seller again