Critically acclaimed and resoundingly popular in its first edition, Modelling Survival Data in Medical Research has been thoroughly revised and updated to reflect the many developments and advances--particularly in software--made in the field over the last 10 years. Now, more than ever, it provides
Modelling Survival Data in Medical Research
โ Scribed by D. Collett (auth.)
- Publisher
- Springer US
- Year
- 1994
- Tongue
- English
- Leaves
- 355
- Series
- Texts in Statistical Science
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Content:
Front Matter....Pages i-xvii
Survival analysis....Pages 1-13
Some non-parametric procedures....Pages 15-51
Modelling survival data....Pages 53-106
The Weibull model for survival data....Pages 107-147
Model checking in the proportional hazards model....Pages 149-198
Some other parametric models for survival data....Pages 199-222
Time-dependent variables....Pages 223-236
Interval-censored survival data....Pages 237-251
Sample size requirements for a survival study....Pages 253-265
Some additional topics....Pages 267-278
Computer software for survival analysis....Pages 279-317
Back Matter....Pages 319-347
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<P>Critically acclaimed and resoundingly popular in its first edition, <STRONG>Modelling Survival Data in Medical Research</STRONG> has been thoroughly revised and updated to reflect the many developments and advances--particularly in software--made in the field over the last 10 years. Now, more tha
<p><span>Modelling Survival Data in Medical Research, Fourth Edition, </span><span>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