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Main Title Estimating Hidden Morbidity via Its Effect on Mortality and Disability (Journal Version).
Author Woodbury, M. A. ; Manton, K. G. ; Yashin, A. I. ; Lowrimore, G. ;
CORP Author Duke Univ., Durham, NC. Center for Demographic Studies. ;International Inst. for Applied Systems Analysis, Laxenburg (Austria).;Health Effects Research Lab., Research Triangle Park, NC.
Publisher c1988
Year Published 1988
Report Number EPA-R-811090; EPA/600/J-88/090;
Stock Number PB89-109698
Additional Subjects Epidemiology ; Morbidity ; Mortality ; Markov processes ; Reprints ; Chronic disease ; Disabilities ; Maximum likelihood estimation ; Risk factors
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NTIS  PB89-109698 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 14p
Abstract The applicability of the theory of partially observed finite state Markov processes to the study of disease, morbidity, and disability is explored. A method is developed for the continuous updating of parameter estimation over time in longitudinal studies analogous to Kalma filtering in continuous valued continuous time processes. The method builds on Yashin filtering of incompletely observed finite state Markov processes. The method of estimation used in maximum likelihood and the incompletely observed aspect is dealt with by using missing information principles.
Supplementary Notes Pub. in Statistics in Medicine, v7 p325-336 1988. Prepared in cooperation with International Inst. for Applied Systems Analysis, Laxenburg (Austria). Sponsored by Health Effects Research Lab., Research Triangle Park, NC.
NTIS Title Notes Journal article.
Title Annotations Reprint: Estimating Hidden Morbidity via Its Effect on Mortality and Disability (Journal Version).
Category Codes 44C; 44F; 57U
NTIS Prices PC A03/MF A01
Primary Description 600/11
Document Type NT
Cataloging Source NTIS/MT
Control Number 834424224
Origin NTIS
Type CAT