G
G. Niklas Norén
Researcher at Uppsala Monitoring Centre
Publications - 65
Citations - 3047
G. Niklas Norén is an academic researcher from Uppsala Monitoring Centre. The author has contributed to research in topics: Pharmacovigilance & Adverse effect. The author has an hindex of 27, co-authored 62 publications receiving 2381 citations. Previous affiliations of G. Niklas Norén include Stockholm University & World Health Organization.
Papers
More filters
Journal ArticleDOI
Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers
George Hripcsak,Jon Duke,Nigam H. Shah,Christian G. Reich,Vojtech Huser,Martijn J. Schuemie,Marc A. Suchard,Rae Woong Park,Ian C. K. Wong,Peter R. Rijnbeek,Johan van der Lei,Nicole L. Pratt,G. Niklas Norén,Yu-Chuan Li,Paul E. Stang,David Madigan,Patrick B. Ryan +16 more
TL;DR: Observational Health Data Sciences and Informatics has built on learnings from the Observational Medical Outcomes Partnership to turn methods research and insights into a suite of applications and exploration tools that move the field closer to the ultimate goal of generating evidence about all aspects of healthcare.
Journal ArticleDOI
Shrinkage observed-to-expected ratios for robust and transparent large-scale pattern discovery
TL;DR: A range of patterns that are naturally viewed in terms of OE ratios are outlined and a straightforward and effective statistical shrinkage transformation that can be applied to any such ratio is proposed, retaining emphasis on the practical relevance and transparency of highlighted patterns, while protecting against spurious associations.
Journal ArticleDOI
Temporal pattern discovery in longitudinal electronic patient records
TL;DR: A framework for open-ended pattern discovery in large patient records repositories is presented and the usefulness of the proposed pattern discovery methodology is demonstrated by a set of examples from a collection of over two million patient records in the United Kingdom.
Journal ArticleDOI
Extending the methods used to screen the WHO drug safety database towards analysis of complex associations and improved accuracy for rare events.
TL;DR: More accurate credibility interval estimates are proposed and a Mantel–Haenszel‐type adjustment is proposed to control for suspected confounders in the WHO international drug safety database.
Journal ArticleDOI
A statistical methodology for drug–drug interaction surveillance
TL;DR: A shrinkage observed‐to‐expected ratio is implemented and evaluated for exploratory analysis of suspected drug–drug interaction in ICSR data, based on comparison with an additive risk model.