2602 12 59713 2 166238 document 59713 RR-86-03.pdf application/pdf 00ba959a6cb8ffd3b26647669d8bcd18 MD5 4223448 2016-06-02 09:35:39 https://pure.iiasa.ac.at/id/eprint/2602/1/RR-86-03.pdf 2602 1 1 application/pdf text en public cc_by

RR-86-03.pdf

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/59713 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/59713 http://eprints.org/relation/isIndexCodesVersionOf https://pure.iiasa.ac.at/id/document/59713 archive 351 disk0/00/00/26/02 2016-01-15 01:55:42 2021-08-27 17:12:14 2016-01-15 01:55:42 monograph show 3 Vaupel J.W. AL1336 Yashin A.I. AL1394 pub iis_bio iis_pop prog_pop Survival analysis; Unobserved heterogeneity; Mixed populations; Hazard rates; Mortality; Failure; Mixtures of distributions As a cohort of people, animals, or machines ages, the individuals at highest risk tend to die or exit first. This differential selection can produce patterns of mortality for the population as a whole that are surprisingly different from the patterns for subpopulations or individuals. Naive acceptance of observed population patterns may lead to erroneous policy recommendations if an intervention depends on the response of individuals. Furthermore, because patterns at the individual level may be simpler than composite population patterns, both theoretical and empirical research may be unnecessarily complicated by failure to recognize the effects of heterogeneity. 1985-08 published RR-86-003. Reprinted from The American Statistician, 39(3):176-185 (August 1985). http://www.jstor.org/stable/2683925 RP-86-003 Reprinted from The American Statistician; 39(3):176-185 (August 1985) <www.jstor.org/stable/2683925> 10 2478 2535 public research_reprint The American Statistician 39 3 IIASA, Laxenburg, Austria 176-185 13 TRUE FALSE info:eu-repo/semantics/book