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Assessing Collider Stratification Bias In Published Observational Studies Of Stroke Patients%3a A Systematic Methods Overview by Nadja Wülk
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1Assessing Collider Stratification Bias In Published Observational Studies Of Stroke Patients: A Systematic Methods Overview
By Nadja Wülk, Marco Piccininni and Jessica L. Rohmann
This meta-research study seeks to extract, examine, and synthesize information to describe and quantify the extent to which selection bias, specifically collider stratification bias, and modern causal inference methods to address this bias are considered in recently published observational studies of survivors of a first stroke in high impact neurology journals.
“Assessing Collider Stratification Bias In Published Observational Studies Of Stroke Patients: A Systematic Methods Overview” Metadata:
- Title: ➤ Assessing Collider Stratification Bias In Published Observational Studies Of Stroke Patients: A Systematic Methods Overview
- Authors: Nadja WülkMarco PiccininniJessica L. Rohmann
Edition Identifiers:
- Internet Archive ID: osf-registrations-s5r2e-v1
Downloads Information:
The book is available for download in "data" format, the size of the file-s is: 0.12 Mbs, the file-s for this book were downloaded 3 times, the file-s went public at Sat Sep 11 2021.
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