Supplementary data for 'How Confident Are We About Observational Findings in Healthcare: A Benchmark Study'

Supplementary data for:

Schuemie MJ, Cepeda MS, Suchard MA, Yang J, Tian Y, Schuler A, Ryan PB, Madigan D, Hripcsak G How Confident Are We About Observational Findings in Healthcare: A Benchmark Study. Submitted

This web-based application provides an interactive platform to explore all perforamnce metricss generated as part of this study, as a supplement to the manuscript

Article abstract

To do

External links

Article: To do
Protocol: https://github.com/schuemie/MethodsLibraryPleEvaluation/blob/master/extras/OHDSI%20Protocol%20Method%20Evaluation.docx
Analysis source code: https://github.com/schuemie/MethodsLibraryPleEvaluation

Evaluation type:

Empirical calibration:

Metric:

Minimum detectable RR:

Evaluation type:

Empirical calibration:

Minimum detectable RR:

Database:

Stratum:

True effect size:

Methods:

CaseControl

CaseCrossover

CohortMethod

SelfControlledCaseSeries

SelfControlledCohort

Details

Estimates
ROC curves

Figure S.2. Estimates with standard errors for the negative and positive controls, stratified by true effect size. Estimates that fall above the red dashed lines have a confidence interval that includes the truth. Hover mouse over point for more information.

Figure S.3. Receiver Operator Characteristics curves for distinguising positive controls from negative controls.