Description

Book Synopsis
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.

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

Table of 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.

Analysing Survival Data from Clinical Trials and

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    A Paperback / softback by Ettore Marubini, Maria Grazia Valsecchi

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      View other formats and editions of Analysing Survival Data from Clinical Trials and by Ettore Marubini

      Publisher: John Wiley & Sons Inc
      Publication Date: 18/05/2004
      ISBN13: 9780470093412, 978-0470093412
      ISBN10: 0470093412
      Also in:
      Mathematics

      Description

      Book Synopsis
      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.

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

      Table of 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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