Analysing Survival Data from Clinical Trials and Observational Studies: 4 (Statistics in Practice) - Hardcover

Marubini, Ettore; Valsecchi, Maria Grazia

Hardcover

ISBN 10: 0471939870 ISBN 13: 9780471939870

Publisher: Wiley, 1995

Synopsis

A practical guide to methods of survival analysis for medical researchers with limited statistical experience. Methods and techniques described range from descriptive and exploratory analysis to multivariate regression methods. Uses illustrative data from actual clinical trials and observational studies to describe methods of analysing and reporting results. Also reviews the features and performance of statistical software available for applying the methods of analysis discussed.

About this title

About the Author

Ettore Marubini is the author of Analysing Survival Data from Clinical Trials and Observational Studies, published by Wiley.

Maria Grazia Valsecchi is the author of Analysing Survival Data from Clinical Trials and Observational Studies, published by Wiley.

From the Back Cover

Statistics in Practice ― A new series of practical books outlining the use of statistical techniques in a wide range of application areas:

• Human and Biological Sciences
• Earth and Environmental Sciences
• Industry, Commerce and Finance

Analysing Survival Data from Clinical Trials and Observational Studies
Ettore Marubini and Maria Grazia Valsecchi, Institute of Medical Statistics and Biometry, University of Milan, Italy

Analysing Survival Data from Clinical Trials and Observational Studies provides a thorough yet accessible, practical guide for medical research professionals with limited statistical experience, with careful explanations of the underlying statistical and scientific principles which will be 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.

From the Inside Flap

Statistics in Practice — A new series of practical books outlining the use of statistical techniques in a wide range of application areas:

• Human and Biological Sciences
• Earth and Environmental Sciences
• Industry, Commerce and Finance

Analysing Survival Data from Clinical Trials and Observational Studies
Ettore Marubini and Maria Grazia Valsecchi, Institute of Medical Statistics and Biometry, University of Milan, Italy

Analysing Survival Data from Clinical Trials and Observational Studies provides a thorough yet accessible, practical guide for medical research professionals with limited statistical experience, with careful explanations of the underlying statistical and scientific principles which will be 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.

Edition details

• Publisher: Wiley
• Publication date: 1995
• Language: English
• ISBN 10: 0471939870
• ISBN 13: 9780471939870
• Binding: Hardcover
• Edition number: 1
• Number of pages: 431