M
Marc Suling
Researcher at University of Bremen
Publications - 8
Citations - 341
Marc Suling is an academic researcher from University of Bremen. The author has contributed to research in topics: Health care & Propensity score matching. The author has an hindex of 7, co-authored 8 publications receiving 302 citations. Previous affiliations of Marc Suling include Leibniz Association.
Papers
More filters
Journal ArticleDOI
Being Macrosomic at Birth is an Independent Predictor of Overweight in Children: Results from the IDEFICS Study
S. Sparano,Wolfgang Ahrens,Wolfgang Ahrens,Stefaan De Henauw,Staffan Mårild,Dénes Molnár,Luis A. Moreno,Marc Suling,Marc Suling,Michael Tornaritis,Toomas Veidebaum,Alfonso Siani,Paola Russo +12 more
TL;DR: Fetal macrosomia, also in the absence of maternal/gestational diabetes, is independently associated with the development of overweight/obesity during childhood and improving the understanding of fetal programming will contribute to the early prevention of childhood overweight/OBesity.
Journal ArticleDOI
High-dimensional versus conventional propensity scores in a comparative effectiveness study of coxibs and reduced upper gastrointestinal complications.
TL;DR: A comparison of hd-PS matching versus conventional PS matching resulted in improved point estimates for studying an intended treatment effect of coxibs versus tNSAIDs when benchmarked against results from randomized controlled trials.
Journal ArticleDOI
Signal Detection and Monitoring Based on Longitudinal Healthcare Data
Marc Suling,Iris Pigeot +1 more
TL;DR: The most commonly applied signal detection algorithms are presented, covering simple frequentistic methods like the proportional reporting rate or the reporting odds ratio, more advanced Bayesian techniques for spontaneous and longitudinal data, and a drug monitoring technique based on Wald’s sequential probability ratio test.
Journal ArticleDOI
Design and results of the pretest of the IDEFICS study
Marc Suling,Antje Hebestreit,Jenny Peplies,Karin Bammann,Annunziata Nappo,Gabriele Eiben,J. M. Fernandez Alvira,Vera Verbestel,Eva Kovacs,Yannis P. Pitsiladis,Toomas Veidebaum,C. Hadjigeorgiou,K Knof,Wolfgang Ahrens +13 more
TL;DR: Extensive pretesting, training and subsequent refinement of the methods were necessary to assess the feasibility of all instruments and procedures in routine fieldwork and to exchange or modify procedures that would otherwise give invalid or misleading results.
Journal ArticleDOI
Linkage of mother-baby pairs in the German Pharmacoepidemiological Research Database.
TL;DR: This study aimed to develop an algorithm for linkage of mother–baby pairs in the German Pharmacoepidemiological Research Database (GePaRD) as a prerequisite for studies to investigate potential drug risks in pregnancy.