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Breakthroughs in Statistics pp 527–541Cite as

Regression Models and Life-Tables

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Summary

The analysis of censored failure times is considered. It is assumed that on each individual arc available values of one or more explanatory variables. The hazard function (age-specific failure rate) is taken to be a function of the explanatory variables and unknown regression coefficients multiplied by an arbitrary and unknown function of time. A conditional likelihood is obtained, leading to inferences about the unknown regression coefficients. Some generalizations are outlined.

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Author information

Authors and Affiliations

  1. Imperial College, London, UK

    David R. Cox

Authors
  1. David R. Cox
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Editor information

Editors and Affiliations

  1. College of Business and Management, University of Maryland at College Park, 20742, College Park, MD, USA

    Samuel Kotz

  2. Department of Statistics Phillips Hall, The University of North Carolina at Chapel Hill, 27599, Chapel Hill, NC, USA

    Norman L. Johnson

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© 1992 Springer-Verlag New York, Inc.

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Cox, D.R. (1992). Regression Models and Life-Tables. In: Kotz, S., Johnson, N.L. (eds) Breakthroughs in Statistics. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-4380-9_37

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  • DOI: https://doi.org/10.1007/978-1-4612-4380-9_37

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-94039-7

  • Online ISBN: 978-1-4612-4380-9

  • eBook Packages: Springer Book Archive

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