20 citations · 26 across the 8 of their papers we have counts for
3 papers · 1 filter
Quantitative bias analysis for outcome phenotype error correction in comparative effect estimation: an empirical and synthetic evaluation
James Weaver, Patrick B. Ryan, Victoria Y. Strauss +3
Outcome phenotype measurement error is rarely corrected in comparative effect estimation studies in observational pharmacoepidemiology. Quantitative bias analysis (QBA) is a miscla…
Logistic regression models for patient-level prediction based on massive observational data: Do we need all data?
Luis H. John, Jan A. Kors, Jenna M. Reps +2
Objective: Provide guidance on sample size considerations for developing predictive models by empirically establishing the adequate sample size, which balances the competing object…
A systematic approach to improving the reliability and scale of evidence from health care data
Martijn J. Schuemie, Patrick B. Ryan, George Hripcsak +2
Concerns over reproducibility in science extend to research using existing healthcare data; many observational studies investigating the same topic produce conflicting results, eve…