Evaluating the Effects of Observed and Unobserved Diffusion Processes in Survival Analysis of Longitudinal Data

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/2564 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/2564 http://eprints.org/relation/isCoversheetVersionOf https://pure.iiasa.ac.at/id/document/2564 archive 351 disk0/00/00/25/19 2016-01-15 01:55:05 2021-08-27 17:12:06 2016-01-15 01:55:05 monograph show 3 Yashin A.I. AL1394 Manton K.G. Evaluating the Effects of Observed and Unobserved Diffusion Processes in Survival Analysis of Longitudinal Data pub iis_mod iis_bio prog_pop In analyses of human survival often explicit consideration of the dynamics of physiological processes governing survival is not made. Failure to consider the influence of such processes can lead to incorrect inferences about the operation of such processes and the inability to forecast future changes in survival. An explicit model of such processes has been presented by Woodbury and Manton (1977). Myers (1981) developed another approach based on the appropriate extension of the Cameron-Martin method. We show that estimation can be conducted using a conditional Gaussian strategy and that the conditional Gaussian approach offers several substantive and computational advantages. 1984-12 published CP-84-058 CP-84-058 2535 public collaborative_paper IIASA, Laxenburg, Austria 19 FALSE info:eu-repo/semantics/book