Stephen P. Fortin

Adaptation and validation of a coding algorithm for the Charlson Comorbidity Index in administrative claims data using the SNOMED CT standardized vocabulary

P. Ryan, J. Reps, Stephen P. Fortin, 2022, BMC Medical Informatics and Decision Making.

Indirect covariate balance and residual confounding: An applied comparison of propensity score matching and cardinality matching

M. Schuemie, Stephen P. Fortin, 2022, Pharmacoepidemiology and drug safety.

Vaccine Safety Surveillance Using Routinely Collected Healthcare Data—An Empirical Evaluation of Epidemiological Designs

M. Suchard, M. Schuemie, N. Pratt, 2021, Frontiers in Pharmacology.

Reproducible variability: assessing investigator discordance across 9 research teams attempting to reproduce the same observational study

M. Suchard, W. Baumgartner, N. Pratt, 2023, J. Am. Medical Informatics Assoc..

Performance characteristics of code‐based algorithms to identify urinary tract infections in large United States administrative claims databases

J. Geurtsen, J. Swerdel, S. Fortin, 2022, Pharmacoepidemiology and drug safety.

Development and performance characteristics of novel code‐based algorithms to identify invasive Escherichia coli disease

J. Geurtsen, J. Swerdel, Jamie Colasurdo, 2022, Pharmacoepidemiology and drug safety.

Serially Combining Epidemiological Designs Does Not Improve Overall Signal Detection in Vaccine Safety Surveillance

M. Suchard, M. Schuemie, G. Hripcsak, 2023, Drug Safety.

Best of intent, worst of both worlds: why sequentially combining epidemiological designs does not improve signal detection in vaccine safety surveillance

M. Suchard, M. Schuemie, G. Hripcsak, 2022, medRxiv.

Enhancement and external validation of algorithms using diagnosis codes to identify invasive Escherichia coli disease

J. Geurtsen, L. Hernández-Pastor, M. Gauthier-Loiselle, 2023, Current medical research and opinion.