Survival Analysis: State of the Art

  • John P. Klein
  • Prem K. Goel

Part of the Nato Science book series (NSSE, volume 211)

Table of contents

  1. Front Matter
    Pages i-x
  2. Bayesian Approach to Reliability and Survival Analysis

    1. Front Matter
      Pages 1-1
    2. A. P. Basu, R. D. Thompson, Purushottam W. Laud
      Pages 3-10
    3. Lynn Kuo, Adrian F. M. Smith, Steven MacEachern, Mike West
      Pages 11-24
    4. Mike West, Mark Berliner
      Pages 47-62
  3. Bio-Medical Applications of Survival Analysis

    1. Front Matter
      Pages 63-63
    2. Jack Cuzick, Belem Trejo, Nancy Flournoy, Peter D. Sasieni
      Pages 65-76
    3. Philip Hougaard, Bent Harvald, Niels V. Holm, Nancy Flournoy, M. Ataharul Islam, K. P. Singh
      Pages 77-97
    4. John P. Klein, M. Moeschberger, Y. H. Li, S. T. Wang, Nancy Flournoy
      Pages 99-120
    5. James W. Vaupel, Bent Harvald, Niels V. Holm, Anatoli I. Yashin, Liang Xiu, Hari H. Dayal
      Pages 121-138
  4. Engineering Applications of Survival Analysis

    1. Front Matter
      Pages 139-139
    2. J. F. Lawless, J. D. Kalbfleisch, Saul Blumenthal
      Pages 141-152
    3. Panickos N. Palettas, Prem K. Goel, Purushottam W. Laud
      Pages 153-170
  5. Inference for Survival Models

    1. Front Matter
      Pages 171-171
    2. Max Engelhardt, Lee J. Bain, Saul Blumenthal
      Pages 173-195
    3. S. Gulati, W. J. Padgett, Saul Blumenthal
      Pages 197-210
    4. Nils Lid Hjort, Mike West, Sue Leurgans
      Pages 211-236
    5. Eric W. Lee, L. J. Wei, David A. Amato, Sue Leurgans
      Pages 237-247
    6. Peter D. Sasieni, Ian W. McKeague
      Pages 249-265
  6. Left Truncation and Censoring

    1. Front Matter
      Pages 267-267
    2. Guadalupe Gomez, Olga Julià, Frederic Utzet, Melvin L. Moeschberger
      Pages 269-288
    3. Shulamit T. Gross, Catherine Huber-Carol, Timothy Costigan
      Pages 289-307
    4. Niels Keiding, Melvin Moeschberger
      Pages 309-326
  7. Models for Survival Analysis

  8. Multivariate Failure Time Analysis

  9. Social Science Applications of Survival Analysis

    1. Front Matter
      Pages 421-421
    2. Krishnan Namboodiri, Hari H. Dayal
      Pages 423-434
  10. Back Matter
    Pages 449-451

About this book


Survival analysis is a highly active area of research with applications spanning the physical, engineering, biological, and social sciences. In addition to statisticians and biostatisticians, researchers in this area include epidemiologists, reliability engineers, demographers and economists. The economists survival analysis by the name of duration analysis and the analysis of transition data. We attempted to bring together leading researchers, with a common interest in developing methodology in survival analysis, at the NATO Advanced Research Workshop. The research works collected in this volume are based on the presentations at the Workshop. Analysis of survival experiments is complicated by issues of censoring, where only partial observation of an individual's life length is available and left truncation, where individuals enter the study group if their life lengths exceed a given threshold time. Application of the theory of counting processes to survival analysis, as developed by the Scandinavian School, has allowed for substantial advances in the procedures for analyzing such experiments. The increased use of computer intensive solutions to inference problems in survival analysis~ in both the classical and Bayesian settings, is also evident throughout the volume. Several areas of research have received special attention in the volume.


Estimator Radiologieinformationssystem Regression analysis Survival analysis calculus modeling statistical analysis

Editors and affiliations

  • John P. Klein
    • 1
  • Prem K. Goel
    • 1
  1. 1.Department of StatisticsThe Ohio State UniversityColumbusUSA

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media B.V. 1992
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-90-481-4133-3
  • Online ISBN 978-94-015-7983-4
  • Series Print ISSN 0168-132X
  • Buy this book on publisher's site