Elisabetta Patorno

Framework for the synthesis of non-randomised studies and randomised controlled trials: a guidance on conducting a systematic review and meta-analysis for healthcare decision making

Grammati Sarri, Elisabetta Patorno, Hongbo Yuan, 2020, BMJ Evidence-Based Medicine.

Data Mining for Adverse Drug Events With a Propensity Score-matched Tree-based Scan Statistic

Sebastian Schneeweiss, Joshua J Gagne, Martin Kulldorff, 2018, Epidemiology.

Variable Selection for Confounding Adjustment in High-dimensional Covariate Spaces When Analyzing Healthcare Databases

Sebastian Schneeweiss, Jessica M Franklin, Wesley Eddings, 2017, Epidemiology.

Methods for using clinical laboratory test results as baseline confounders in multi‐site observational database studies when missing data are expected

James Flory, Jason Roy, Kevin Haynes, 2016, Pharmacoepidemiology and drug safety.

Propensity score methodology for confounding control in health care utilization databases

Sebastian Schneeweiss, Elisabetta Patorno, Rino Bellocco, 2013, Epidemiology, Biostatistics, and Public Health.

Studies with Many Covariates and Few Outcomes: Selecting Covariates and Implementing Propensity-Score–Based Confounding Adjustments

Jun Liu, Sebastian Schneeweiss, Sonia Hernández-Díaz, 2014, Epidemiology.

Missing laboratory results data in electronic health databases: implications for monitoring diabetes risk.

Jason Roy, Marsha A Raebel, Kevin Haynes, 2017, Journal of comparative effectiveness research.