Analysis of case-cohort data: A comparison of different methods

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Analysis of case-cohort data: A comparison of different methods N. Charlotte Onland-Moret, Daphne L. van der A, Yvonne T. van der Schouw, Wim Buschers, Sjoerd G. Elias, Carla H. van Gils, Jeroen Koerselman, Mark Roest, Diederick E. Grobbee, Petra H.M. Peeters  Journal of Clinical Epidemiology  Volume 60, Issue 4, Pages 350-355 (April 2007) DOI: 10.1016/j.jclinepi.2006.06.022 Copyright © 2007 Elsevier Inc. Terms and Conditions

Fig. 1 (a) Mean distance between the vectors of the estimated coefficients in a full-cohort analysis and the case-cohort models; the influence of subcohort size with fixed full-cohort size (n=1,000) and fixed number of failures (n=93). (b) Mean deviation (Hilbert–Schmidt norm) for the full-cohort and case-cohort covariance matrices, which is a measure for the difference between the SE. The influence of subcohort size with fixed full-cohort size (n=1,000) and fixed number of failures (n=93). Journal of Clinical Epidemiology 2007 60, 350-355DOI: (10.1016/j.jclinepi.2006.06.022) Copyright © 2007 Elsevier Inc. Terms and Conditions

Fig. 2 (a) Mean distance between the vectors of the estimated coefficients in a full-cohort analysis and the case-cohort models. The influence of varying full-cohort sizes with fixed incidence rate (∼8%) and a fixed subcohort size (10%). (b) Mean deviation (Hilbert–Schmidt norm) for the full-cohort and case-cohort covariance matrices, which is a measure for the difference between the SE. The influence of varying full-cohort sizes with fixed incidence rate (∼8%) and fixed subcohort size (10%). Journal of Clinical Epidemiology 2007 60, 350-355DOI: (10.1016/j.jclinepi.2006.06.022) Copyright © 2007 Elsevier Inc. Terms and Conditions

Fig. 3 (a) Mean distance between the vectors of the estimated coefficients in a full-cohort analysis and the case-cohort models. The influence of number of failures with fixed full-cohort size (n=2,000) and a fixed subcohort size (10%). (b) Mean deviation (Hilbert–Schmidt norm) for the full-cohort and case-cohort covariance matrices, which is a measure for the difference between the SE. The influence of number of failures with fixed full-cohort size (n=2,000) and fixed subcohort size (10%). Journal of Clinical Epidemiology 2007 60, 350-355DOI: (10.1016/j.jclinepi.2006.06.022) Copyright © 2007 Elsevier Inc. Terms and Conditions