With Whom Do We Compare?

Co-Moderator(s)

• 

  Stanley Edlavitch, PhD, MA (he/him/his)

  Professor
  UMKC
  Kansas City, United States
• 

  Jacinthe Leclerc, RN, PhD, FAHA (she/her/hers)

  Professor-Researcher
  Universite Laval, Canada

Presentations:

• 8:00 AM – 8:15 AM ADT

  Case Validation in Electronic Health Records linked with a Disease-Specific Clinical Database: Use Case in Pulmonary Arterial Hypertension
  

  Presenting Author: Eva-Maria Didden, PhD (she/her/hers) – Janssen
• 8:15 AM – 8:30 AM ADT

  Does Misclassification due to Electronic Health Record Discontinuity Cause Biased Effect Estimates in Comparative Effectiveness Research?
  

  Presenting Author: Yinzhu Jin, MPH (she/her/hers) – Brigham and Women's Hospital
• 8:30 AM – 8:45 AM ADT

  International Classification of Diseases (ICD-10) Code Identification of Lab-Confirmed SARS-CoV-2 Within Electronic Health Data
  

  Presenting Author: Sasha Bernatsky, MD, PhD – McGill University, Dept. of Medicine and CORE
• 8:45 AM – 9:00 AM ADT

  Using Tree-Based Scan Statistics for Signal Identification: Screening for Elevated Congenital Malformation Risk Following Prenatal Antipsychotic Exposure
  

  Presenting Author: Loreen Straub, MD MS – Brigham and Women's Hospital/Harvard Medical School
• 9:00 AM – 9:15 AM ADT

  How to underpower your real-world data study: examples and ways to avoid them using quantitative bias analysis
  

  Presenting Author: Sudhir Venkatesan, MPH, PhD – Medical & Payer Evidence Statistics, BioPharmaceuticals Medical, AstraZeneca, Cambridge, UK; Department of Medical Statistics
• 9:15 AM – 9:30 AM ADT

  A methodology study to evaluate external comparator arm study results versus randomised controlled trial results: metastatic Hormone-Sensitive Prostate Cancer case study
  

  Presenting Author: Wilhelmina E. Hoogendoorn, PhD – IQVIA