Analysis of failure time hierarchical data in the presence of competing risks with application to oral contraceptive pill use in Egypt


Ali, MM; Babiker, AG; Cleland, JG; (2001) Analysis of failure time hierarchical data in the presence of competing risks with application to oral contraceptive pill use in Egypt. Statistics in medicine, 20 (23). pp. 3611-24. ISSN 0277-6715

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Abstract

Problems of practical interest in the analysis of data on contraceptive use, from Demographic and Health Surveys (DHS), include the estimation of the cause-specific probability of discontinuation by time t (the cumulative incidence function), in the presence of other competing causes and the evaluation of the effect of covariates on the cause-specific hazards of discontinuation. Methods of analysis of failure time data with competing risks are by now fairly well developed in the case of a simple random sample. However, the data from the DHS are clustered by geographical areas and include multiple episodes per woman. For a marginal (population average) approach, we propose using methods developed for simple random samples with standard errors calculated using a double bootstrap to take account of the clustered hierarchical nature of the data. In the conditional approach, the cause-specific hazards are modelled as log-linear functions of the covariates conditional on random effects of clusters and women, using a three-level multinomial discrete-time logit model. The methods are applied to data from Egypt 1992 DHS on the oral contraceptive pill use.

Item Type: Article
Keywords: Adolescent, Adult, Cluster Analysis, Contraception/*methods/standards, *Contraceptive Agents, Female, *Contraceptives, Oral, Hormonal, Egypt, Female, Human, Logistic Models, Middle Age, *Models, Biological, Pregnancy, Risk Factors, Support, Non-U.S. Gov't, Adolescence, Adult, Cluster Analysis, Contraception, methods, standards, Contraceptive Agents, Female, Contraceptives, Oral, Hormonal, Egypt, Female, Human, Logistic Models, Middle Age, Models, Biological, Pregnancy, Risk Factors, Support, Non-U.S. Gov't
Faculty and Department: Faculty of Epidemiology and Population Health > Dept of Population Health (2012- ) > Dept of Population Studies (1974-2012)
Faculty of Epidemiology and Population Health > Dept of Population Health (2012- )
Research Centre: Population Studies Group
PubMed ID: 11746341
Web of Science ID: 172447800011
URI: http://researchonline.lshtm.ac.uk/id/eprint/16601

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