Document Detail

Case-cohort methods for survival data on families from routine registers.
MedLine Citation:
PMID:  17639506     Owner:  NLM     Status:  MEDLINE    
In the Nordic countries, there exist several registers containing information on diseases and risk factors for millions of individuals. This information can be linked to families by the use of personal identification numbers, and represents a great opportunity for studying diseases that show familial aggregation. Due to the size of the registers, it is difficult to analyze the data by using traditional methods for multivariate survival analysis, such as frailty or copula models. Since the size of the cohort is known, case-cohort methods based on pseudo-likelihoods are suitable for analyzing the data. We present methods for sampling control families both with and without replacement, and with or without stratification. The data are stratified according to family size and covariate values. Depending on the sampling method, results from simulations indicate that one only needs to sample 1-5 per cent of the control families in order to obtain good efficiency compared with a traditional cohort analysis. We also provide an application to survival data from the Medical Birth Registry of Norway.
Tron Anders Moger; Yudi Pawitan; Ornulf Borgan
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Statistics in medicine     Volume:  27     ISSN:  0277-6715     ISO Abbreviation:  Stat Med     Publication Date:  2008 Mar 
Date Detail:
Created Date:  2008-02-13     Completed Date:  2008-06-03     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8215016     Medline TA:  Stat Med     Country:  England    
Other Details:
Languages:  eng     Pagination:  1062-74     Citation Subset:  IM    
Copyright Information:
Copyright (c) 2007 John Wiley & Sons, Ltd.
Institute of Basic Medical Sciences, Department of Biostatistics, University of Oslo, Blindern, 0317 Oslo, Norway.
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MeSH Terms
Case-Control Studies*
Cohort Studies*
Computer Simulation
Family Health*
Infant Mortality
Infant, Newborn
Models, Statistical
Multiple Birth Offspring / statistics & numerical data
Multivariate Analysis*
Norway / epidemiology
Registries / statistics & numerical data*
Research Design
Survival Analysis*
Sweden / epidemiology

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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