Drug Saf (2017) 40:757–760 DOI 10.1007/s40264-017-0549-7 COMMENTARY Using Simulated Data to Assess Case-Crossover Designs for Studying Less Transient Effects of Drugs Malcolm Maclure Published online: 3 June 2017 Springer International Publishing Switzerland 2017 Decades after the case-crossover (CCO) design was ﬁrst between-person confounding in creating the simulated data described , recent studies of potential biases and alter- for realistic methodologic studies of traditional cohort and native applications of CCO analyses using pharmaceutical case–control designs . However, much, if not all, of that and healthcare utilization databases are still yielding new between-person confounding would be automatically insights [2, 3]. In this issue of Drug Safety, Burningham eliminated from CCO analyses because cases serve as their et al.  report their assessments of the performance of own controls. Ironically, the main strength of OSIM2 as a CCO methods for studying more chronic effects of drugs, creator of simulation data might thus be negated by the similar to the work of Schuemie et al.  on studying long- main strength of the CCO design. term effects of accumulated exposures using the self-con- OSIM2 was not explicitly designed to produce realistic trolled case-series (SCCS) method. within-person confounding in the simulated data. Murray Based
Drug Safety – Springer Journals
Published: Jun 3, 2017
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