Ettore Marubini, Maria Gr. Valsecchi

Analysing Survival Data from Clinical Trials and Observational Studies

• Broschiertes Buch

Produktbeschreibung

This book provides an up to date, comprehensive, clinically oriented account of the molecular biology, pathogenesis, clinical features, diagnosis and management of human bacterial diseases, as well as their control and prevention.

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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.

Produktdetails

• Statistics in Practice
• Verlag: Wiley & Sons
• 1. Auflage
• Seitenzahl: 432
• Erscheinungstermin: 2. Juli 2004
• Englisch
• Abmessung: 229mm x 152mm x 25mm
• Gewicht: 640g
• ISBN-13: 9780470093412
• ISBN-10: 0470093412
• Artikelnr.: 12964641

Autorenporträt

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.

Inhaltsangabe

From the Contents:
Preface.
Series Preface.
1. The Scope of Survival Analysis.
2. Randomized Clinical Trials: General Principles and Some Controversial Issues.
3. Estimation of Survival Probabilities.
4. Non-Parametric Methods for the Comparison of Survival Curves.
5. Distribution Functions for Failure Time T .
6. The Cox Regression Model.
7. Validation of the Proportional Hazards Models.
8. Parametric Regression Models.
9. The Study of Prognostic Factors and the Assessment of Treatment Effect.
10. Competing Risks.
11. Meta-Analysis.
References.
Author Index.
Subject Index.

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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.

Rezensionen

a valuable resource for both practitioners and students alike. (Journal of the Royal Statistical Society, Series A, Vol.168, No.2, March 2005)