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Relative mortality for correlated lifetime data.

Authors
Song-JX; Wassell-JT; Kapadia-A
Source
Comput Stat Data Anal 2004 May; 45(4):849-864
NIOSHTIC No.
20024695
Abstract
Comparing correlated lifetimes for a group of individuals to a standard reference population may require variance adjustment of marginal model estimates or the use of conditional random effects models with shared frailty. We present the cumulative relative mortality, the marginal model robust variance estimator and the frailty models in estimating relative mortality for individuals who have correlated lifetimes due to group clustering. The positive stable and gamma frailty distributions are considered in the frailty models. The performances of both marginal and frailty models are compared using simulation. Applying these methods, we show siblings for centenarians had longer life spans than their US cohort reference population.
Keywords
Mortality-data; Mathematical-models; Survival-rate; Lifespan; Computer-models; Data-processing; Epidemiology; Risk-analysis; Risk-factors; Statistical-analysis
Contact
Bayer Pharmaceuticals Corporation, Department of Biometry, 400 Morgan Lane, West Haven, CT 06516
CODEN
CSDADW
Publication Date
20040510
Document Type
Journal Article
Email Address
james.song.b@bayer.com
Fiscal Year
2004
NTIS Accession No.
NTIS Price
Issue of Publication
4
ISSN
0167-9473
NIOSH Division
DSR
Priority Area
Construction
Source Name
Computational Statistics & Data Analysis
State
CT; TX; WV
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