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Birkhäuser

Advances in Statistical Methods for the Health Sciences

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

  • Book
  • © 2007

Overview

Editors:
  1. Jean-Louis Auget

    1. UFR of Pharmaceutical Sciences, Nantes Cedex 1, France

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  2. N. Balakrishnan

    1. Department of Mathematics and Statistics, McMaster University, Hamilton, Canada

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  3. Mounir Mesbah

    1. Laboratoire de Statistique Théorie et Appliquée, Université Pierre et Marie Curie, Paris, France

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    You can also search for this editor in PubMed   Google Scholar

  4. Geert Molenberghs

    1. Center for Statistics, Hasselt University, Diepenbeek, Belgium

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  • Several active and distinguished researchers are contributors to the volume
  • Recent developments in a broad range of statistical methodoligies for the health sciences are presented
  • Applications to modeling in cancer and AIDS studies, genome sequence analysis, survival analysis, and quality of life

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

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Table of contents (33 chapters)

  1. Front Matter

    Pages i-xli
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  2. Prognostic Studies and General Epidemiology

    1. Front Matter

      Pages 1-1
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    2. Systematic Review of Multiple Studies of Prognosis: The Feasibility of Obtaining Individual Patient Data

      • Douglas G. Altman, Marialena Trivella, Francesco Pezzella, Adrian L. Harris, Ugo Pastorino
      Pages 3-18

    3. On Statistical Approaches for the Multivariable Analysis of Prognostic Marker Studies

      • N. Holländer, W. Sauerbrei
      Pages 19-38

    4. Where Next for Evidence Synthesis of Prognostic Marker Studies? Improving the Quality and Reporting of Primary Studies to Facilitate Clinically Relevant Evidence-Based Results

      • Richard D. Riley, Keith R. Abrams, Paul C. Lambert, Alex J. Sutton, Douglas G. Altman
      Pages 39-58

  3. Pharmacovigilance

    1. Front Matter

      Pages 59-59
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    2. Sentinel Event Methods for Monitoring Unanticipated Adverse Events

      • Peter A. Lachenbruch, Janet Wittes
      Pages 61-74

    3. Spontaneous Reporting System Modelling for the Evaluation of Automatic Signal Generation Methods in Pharmacovigilance

      • E. Roux, F. Thiessard, A. Fourrier, B. Bégaud, P. Tubert-Bitter
      Pages 75-92

  4. Quality of Life

    1. Front Matter

      Pages 93-93
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    2. Latent Covariates in Generalized Linear Models: A Rasch Model Approach

      • Karl Bang Christensen
      Pages 95-108

    3. Sequential Analysis of Quality of Life Measurements with the Mixed Partial Credit Model

      • Véronique Sébille, Tariku Challa, Mounir Mesbah
      Pages 109-125

    4. A Parametric Degradation Model Used in Reliability, Survival Analysis, and Quality of Life

      • M. Nikulin, L. Gerville-Réache, S. Orazio
      Pages 127-138

    5. Agreement Between Two Ratings with Different Ordinal Scales

      • Sundar Natarajan, M. Brent McHenry, Stuart Lipsitz, Neil Klar, Steven Lipshultz
      Pages 139-148

  5. Survival Analysis

    1. Front Matter

      Pages 149-149
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    2. The Role of Correlated Frailty Models in Studies of Human Health, Ageing, and Longevity

      • Andreas Wienke, Paul Lichtenstein, Kamila Czene, Anatoli I. Yashin
      Pages 151-166

    3. Prognostic Factors and Prediction of Residual Survival for Hospitalized Elderly Patients

      • M. L. Calle, P. Roura, A. Arnau, A. Yáñez, A. Leiva
      Pages 167-178

    4. New Models and Methods for Survival Analysis of Experimental Data

      • Ganna V. Semenchenko, Anatoli I. Yashin, Thomas E. Johnson, James W. Cypser
      Pages 179-194

    5. Uniform Consistency for Conditional Lifetime Distribution Estimators Under Random Right-Censorship

      • Paul Deheuvels, Gérard Derzko
      Pages 195-209

    6. Sequential Estimation for the Semiparametric Additive Hazard Model

      • L. Bordes, C. Breuils
      Pages 211-223

    7. Variance Estimation of a Survival Function with Doubly Censored Failure Time Data

      • Chao Zhu, Jianguo Sun
      Pages 225-235
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Keywords

About this book

Statistical methods have become an increasingly important and 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 Statistics in Health Sciences," covers a wide range of topics pertaining to new statistical methods 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, and animal health.

 

This comprehensive volume will serve the health science community as well as practitioners, researchers, and graduate students in applied probability, statistics, and biostatistics.

 

Reviews

From the reviews:

"This edited volume is an outgrowth of an ‘International Conference on Statistical Methods’ so-called in the Health Sciences in 2004. It is a well presented volume with lists of tables and figures. … Clearly this volume covers a wide range of topics pertaining to statistical methods in the area of health sciences. … In summary, it is a welcome addition to the literature of statistical science." (Technometrics, Vol. 49 (3), August, 2007)

Editors and Affiliations

  • UFR of Pharmaceutical Sciences, Nantes Cedex 1, France

    Jean-Louis Auget

  • Department of Mathematics and Statistics, McMaster University, Hamilton, Canada

    N. Balakrishnan

  • Laboratoire de Statistique Théorie et Appliquée, Université Pierre et Marie Curie, Paris, France

    Mounir Mesbah

  • Center for Statistics, Hasselt University, Diepenbeek, Belgium

    Geert Molenberghs

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