publications











what's new

special offers

publishing with wiley

Calendar of Events

free paper





 0471 93987 0    430pp    1995

 

 


Analysing Survival Data from Clinical Trials and Observational Studies

E. Marubini and M.G. Valsecchi, both of University of Milan, Italy

A thorough yet accessible and practical guide for medical research professionals with limited statistical experience, with careful explanation of the underlying statistical and scientific principles useful to clinicians and biostatisticians. Emphasising the concepts and methods, rather than the theoretical background, the book covers:

  • Estimation of survival curves
  • Non-parametric methods for comparison of survival curves
  • The Cox regression model
  • The parametric regression model
  • The study of prognostic factors
  • Competing risks
Alternative data sets, taken from important real-life medical examples, are used throughout to demonstrate methods of analysis and reporting of results.


Contents

  • The Scope of Survival Analysis
  • Randomized Clinical Trials: General Principles and Some Controversial Issues
  • Estimation of Survival Probabilities
  • Non-parametric Methods for the Comparison of Survival Curves
  • Distribution Functions for Failure Time T
  • The Cox Regression Model
  • Validation of the Proportional Hazards Models
  • Parametric Regression Models
  • The Study of Prognostic Factors and the Assessment of Treatment Effect
  • Competing Risks
  • Meta-analysis
Series: Statistics in Practice Series

© 1999 by John Wiley & Sons, Ltd.