Access the full text.
Sign up today, get DeepDyve free for 14 days.
M. Maclure, B. Fireman, Jennifer Nelson, Wei Hua, A. Shoaibi, A. Paredes, D. Madigan (2012)
When should case‐only designs be used for safety monitoring of medical products?Pharmacoepidemiology and Drug Safety, 21
Shirley Wang, S. Schneeweiss, M. Maclure, J. Gagne (2014)
"First-wave" bias when conducting active safety monitoring of newly marketed medications with outcome-indexed self-controlled designs.American journal of epidemiology, 180 6
(2001)
Triggering myocardial infarction by marijuana. Circulation
Zachary Burningham, T. He, C. Teng, Xi Zhou, J. Nebeker, B. Sauer (2017)
Evaluation of the Case–Crossover (CCO) Study Design for Adverse Drug Event DetectionDrug Safety, 40
M. Maclure (1991)
The case-crossover design: a method for studying transient effects on the risk of acute events.American journal of epidemiology, 133 2
J. Hallas, A. Pottegård, Shirley Wang, S. Schneeweiss, J. Gagne (2016)
Persistent User Bias in Case-Crossover Studies in Pharmacoepidemiology.American journal of epidemiology, 184 10
M. Schuemie, G. Trifirò, P. Coloma, P. Ryan, D. Madigan (2016)
Detecting adverse drug reactions following long-term exposure in longitudinal observational data: The exposure-adjusted self-controlled case seriesStatistical Methods in Medical Research, 25
M. Mittleman, Rebecca Lewis, M. Maclure, J. Sherwood, J. Muller (2001)
Triggering Myocardial Infarction by MarijuanaCirculation: Journal of the American Heart Association, 103
M. Mittleman, D. Mintzer, M. Maclure, G. Tofler, J. Sherwood, J. Muller (1999)
Triggering of myocardial infarction by cocaine.Circulation, 99 21
Richard Murray, P. Ryan, Stephanie Reisinger (2011)
Design and validation of a data simulation model for longitudinal healthcare data.AMIA ... Annual Symposium proceedings. AMIA Symposium, 2011
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 [1], 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 [7]. 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. [4] 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. [5] 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
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.