caa a22 4500 605476136 CHVBK 20210128100355.0 cr unu---uuuuu 210128e20151001xx s 000 0 eng 10.1007/s10985-015-9319-y doi (NATIONALLICENCE)springer-10.1007/s10985-015-9319-y Nested case-control studies: should one break the matching? [Elektronische Daten] [Ørnulf Borgan, Ruth Keogh] In a nested case-control study, controls are selected for each case from the individuals who are at risk at the time at which the case occurs. We say that the controls are matched on study time. To adjust for possible confounding, it is common to match on other variables as well. The standard analysis of nested case-control data is based on a partial likelihood which compares the covariates of each case to those of its matched controls. It has been suggested that one may break the matching of nested case-control data and analyse them as case-cohort data using an inverse probability weighted (IPW) pseudo likelihood. Further, when some covariates are available for all individuals in the cohort, multiple imputation (MI) makes it possible to use all available data in the cohort. In the paper we review the standard method and the IPW and MI approaches, and compare their performance using simulations that cover a range of scenarios, including one and two endpoints. Springer Science+Business Media New York, 2015 Case-cohort nationallicence Competing risks nationallicence Cox regression nationallicence Inverse probability weighting nationallicence Matching nationallicence Multiple imputation nationallicence Nested case-control nationallicence Borgan Ørnulf Department of Mathematics, University of Oslo, Blindern, P.O.Box 1053, 0316, Oslo, Norway aut Keogh Ruth Department of Medical Statistics, London School of Hygiene and Tropical Medicine, Keppel Street, WC1E 7HT, London, UK aut Lifetime Data Analysis Springer US; http://www.springer-ny.com 21/4(2015-10-01), 517-541 1380-7870 21:4<517 2015 21 10985 https://doi.org/10.1007/s10985-015-9319-y text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10985-015-9319-y text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Borgan Ørnulf Department of Mathematics, University of Oslo, Blindern, P.O.Box 1053, 0316, Oslo, Norway aut NATIONALLICENCE 700 1- Keogh Ruth Department of Medical Statistics, London School of Hygiene and Tropical Medicine, Keppel Street, WC1E 7HT, London, UK aut NATIONALLICENCE 773 0- Lifetime Data Analysis Springer US; http://www.springer-ny.com 21/4(2015-10-01), 517-541 1380-7870 21:4<517 2015 21 10985