Related Experiment Video
Updated: May 13, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Statistical challenges in systematic evidence generation through analysis of observational healthcare data networks
1Johnson & Johnson Pharmaceutical Research and Development, 1125 Trenton-Harbourton Road, PO Box 200, Titusville, NJ 08560, USA. PRyan4@its.jnj.com
Abstract:
Observational healthcare databases offer significant potential for generating evidence about the effects of medical products. Recent US and international efforts attempt to coordinate analysis activities across observational data networks for active drug safety surveillance and comparative effectiveness research. Several statistical challenges exist that require further research to inform the appropriate use of observational data for identifying and evaluating temporal relationships between medical product exposures and outcomes. This review highlights current work across the areas of data quality, methods development, and performance evaluation that promise to contribute to our understanding of best practices for observational analyses moving forward.
Related Concept Videos
Statistical Methods for Analyzing Epidemiological Data
Introduction to Epidemiology
Biostatistics: Overview
Discrete variables are...
Data Collection by Observations
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
Observational Studies
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One example of...
Bias in Epidemiological Studies
