rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Statistical Inference on Residual Life
  name:
    name part: Jeong, Jong-Hyeon.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2014
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XI, 201 p. 17 illus., 12 illus. in color. online resource.
  abstract: This is a monograph on the concept of residual life, which is an alternative summary measure of time-to-event data, or survival data. The mean residual life has been used for many years under the name of life expectancy, so it is a natural concept for summarizing survival or reliability data. It is also more interpretable than the popular hazard function, especially for communications between patients and physicians regarding the efficacy of a new drug in the medical field. This book reviews existing statistical methods to infer the residual life distribution. The review and comparison includes existing inference methods for mean and median, or quantile, residual life analysis through medical data examples. The concept of the residual life is also extended to competing risks analysis. The targeted audience includes biostatisticians, graduate students, and PhD (bio)statisticians. Knowledge in survival analysis at an introductory graduate level is advisable prior to reading this book.
  table of contents: Introduction -- Inference on Mean Residual Life -- Quantile Residual Life -- Quantile Residual Life under Competing Risks -- Other Methods for Inference on Quantiles -- Study Design based on Quantile (Residual) Life -- Appendix: R codes -- References -- Index.
  note: by Jong-Hyeon Jeong.
  subject:
    topic: Statistics
  subject:
    topic: Epidemiology
  subject:
    topic: Biostatistics
  subject:
    topic: Statistics
  subject:
    topic: Statistics for Life Sciences, Medicine, Health Sciences
  subject:
    topic: Biostatistics
  subject:
    topic: Epidemiology
  classification: QA276-280
  classification: 519.5
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Statistics for Biology and Health
  identifier: 9781493900053
  identifier: http://dx.doi.org/10.1007/978-1-4939-0005-3
  record info:
    record creation date: 140120
    record change date: 20151204150728.0
    record identifier: 978-1-4939-0005-3