Case-cohort methods for survival data on families from routine registers.

Full Abstract

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.Copyright (c) 2007 John Wiley & Sons, Ltd.

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Author information

Author/s: Moger, Tron Anders (TA); Pawitan, Yudi (Y); Borgan, Ornulf (O);

Affiliation: Institute of Basic Medical Sciences, Department of Biostatistics, University of Oslo, Blindern, 0317 Oslo, Norway. tronmo(-atsign-)medisin.uio.no

Journal and publication information

Publication Type: Journal Article; Research Support, Non-U.S. Gov't

Journal: Statistics in medicine (Stat Med), published in England. (Language: eng)

Reference: 2008-Mar; vol 27 (issue 7) : pp 1062-74

Dates: Created 2008/02/13; Completed 2008/06/03;

PMID: 17639506, status: MEDLINE (last retrieval date: 11/6/2008)

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MeSH headings (categories)

This article was linked to the MESH Headings shown below.

Models, Statistical
Multiple Birth Offspring - statistics & numerical data
Multivariate Analysis
Norway - epidemiology
Registries - statistics & numerical data
Research Design
Survival Analysis
Sweden - epidemiology

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