Elisabetta Patorno, Dr.P.H., M.D.
This page shows the publications co-authored by Elisabetta Patorno and Martin Kulldorff.
A General Propensity Score for Signal Identification Using Tree-Based Scan Statistics. Am J Epidemiol. 2021 07 01; 190(7):1424-1433.
A novel data mining application to detect safety signals for newly approved medications in routine care of patients with diabetes. Endocrinol Diabetes Metab. 2021 Jul; 4(3):e00237.
The EMPagliflozin compaRative effectIveness and SafEty (EMPRISE) study programme: Design and exposure accrual for an evaluation of empagliflozin in routine clinical care. Endocrinol Diabetes Metab. 2020 Jan; 3(1):e00103.
Cardiovascular safety of linagliptin compared with other oral glucose-lowering agents in patients with type 2 diabetes: A sequential monitoring programme in routine care. Diabetes Obes Metab. 2019 08; 21(8):1824-1836.
Empagliflozin and the Risk of Heart Failure Hospitalization in Routine Clinical Care. Circulation. 2019 06 18; 139(25):2822-2830.
Data Mining for Adverse Drug Events With a Propensity Score-matched Tree-based Scan Statistic. Epidemiology. 2018 11; 29(6):895-903.
The connection strength for co-authors is the sum of the scores for each of their shared publications.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.