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Utilizing Cause-of-Death Information to Estimate Conditional Probabilities of Disease and Death

✍ Scribed by Ralph L. Kodell

Publisher: John Wiley and Sons
Year: 1987
Tongue: English
Weight: 694 KB
Volume: 29
Category: Article
ISSN: 0323-3847
DOI: 10.1002/bimj.4710290606

No coin nor oath required. For personal study only.

✦ Synopsis

Conditional probabilities that do not require the Bssumption of independence among competing risks for identifiability are proposed for the analysk of carcinogenesk bioassay data a8 a reasonable adjustment for deaths or other removals due t a competing risks. Them conditional probabilities permit consideration of one type of tumor a t a time, but in such a way that inferences are relevant to actual experimental conditione under which other diseases and c a m of death are present and operating. The importance of essigning cause of death in bioassay8 ie demonetrated by the fact that i t allows the definition and identification of functions useful in the interpretation of carcinogeneeis data, without requiring that a disease of interest be independent from competing risks. However, one proposed conditional probability does require sacrifice data for its identifiability.

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