Advances in Statistical Methods for the Health Sciences

Applications to Cancer and AIDS Studies, Genome Sequence Analysis, and Survival Analysis

  • Jean-Louis Auget
  • N. Balakrishnan
  • Mounir Mesbah
  • Geert Molenberghs

Part of the Statistics for Industry and Technology book series (SIT)

Table of contents

  1. Front Matter
    Pages i-xli
  2. Prognostic Studies and General Epidemiology

    1. Front Matter
      Pages 1-1
    2. Douglas G. Altman, Marialena Trivella, Francesco Pezzella, Adrian L. Harris, Ugo Pastorino
      Pages 3-18
  3. Pharmacovigilance

    1. Front Matter
      Pages 59-59
    2. Peter A. Lachenbruch, Janet Wittes
      Pages 61-74
    3. E. Roux, F. Thiessard, A. Fourrier, B. Bégaud, P. Tubert-Bitter
      Pages 75-92
  4. Quality of Life

    1. Front Matter
      Pages 93-93
    2. Véronique Sébille, Tariku Challa, Mounir Mesbah
      Pages 109-125
    3. Sundar Natarajan, M. Brent McHenry, Stuart Lipsitz, Neil Klar, Steven Lipshultz
      Pages 139-148
  5. Survival Analysis

    1. Front Matter
      Pages 149-149
    2. Andreas Wienke, Paul Lichtenstein, Kamila Czene, Anatoli I. Yashin
      Pages 151-166
    3. M. L. Calle, P. Roura, A. Arnau, A. Yáñez, A. Leiva
      Pages 167-178
    4. Ganna V. Semenchenko, Anatoli I. Yashin, Thomas E. Johnson, James W. Cypser
      Pages 179-194

About this book

Introduction

Statistical methods have become increasingly important and now form integral part of research in the health sciences. Many sophisticated methodologies have been developed for specific applications and problems. This self-contained volume, an outgrowth of an "International Conference on Statistical Methods in Health Sciences," covers a wide range of topics pertaining to new statistical methods and novel applications in the health sciences.

The chapters, written by leading experts in their respective fields, are thematically divided into the following areas:

* Prognostic studies and general epidemiology

* Pharmacovigilance

* Quality of life

* Survival analysis

* Clustering

* Safety and efficacy assessment

* Clinical design

* Models for the environment

* Genomic analysis

* Animal health

This comprehensive volume will be highly useful an of great interest to the health science community as well as practitioners, researchers, and graduate students in applied probability, statistics, and biostatistics.

 

Keywords

Estimator Generalized linear model Master Patient Index Measure STATISTICA Survival analysis artificial neural network classification clustering databases statistics

Editors and affiliations

  • Jean-Louis Auget
    • 1
  • N. Balakrishnan
    • 2
  • Mounir Mesbah
    • 3
  • Geert Molenberghs
    • 4
  1. 1.UFR of Pharmaceutical SciencesNantes Cedex 1France
  2. 2.Department of Mathematics and StatisticsMcMaster UniversityHamiltonCanada
  3. 3.Laboratoire de Statistique Théorie et AppliquéeUniversité Pierre et Marie CurieParisFrance
  4. 4.Center for StatisticsHasselt UniversityDiepenbeekBelgium

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-8176-4542-7
  • Copyright Information Birkhäuser Boston 2007
  • Publisher Name Birkhäuser Boston
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-0-8176-4368-3
  • Online ISBN 978-0-8176-4542-7
  • About this book