Analysing Survival Data from Clinical Trials and Observational Studies

by Ettore Marubini, Maria Grazia Valsecchi

Overview

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.

Product Details

ISBN-13:	9780471939870
Publisher:	Wiley
Publication date:	07/05/1995
Series:	Statistics in Practice , #4
Pages:	431
Product dimensions:	6.36(w) x 9.55(h) x 1.17(d)

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.

Table of 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.

References.

Indexes.

Editorial Reviews

"...this book is written well..." (Statistics in Medical Research, Vol.12, No. 2, 2003)

From the Publisher

A practical guide for medical researchers with limited experience in statistics, and for clinicians and biostatisticians an explanation of the underlying statistical and scientific principles of analyzing survival data from clinical trials and observational studies. Uses the Cox regression model to describe the basic methods of analysis that allow the estimation and comparison of survival curves. Except in the two final chapters, discussions requiring advanced statistical knowledge are clearly marked with warning signs. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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