The role and significance of sensitivity analyses in enhancing the statistical validity of clinical studies

J Thorac Cardiovasc Surg. 2022 Feb;163(2):749-753. doi: 10.1016/j.jtcvs.2020.09.134. Epub 2020 Oct 19.

Authors

Michael Baiocchi¹, Y Joseph Woo², Peter Chiu², Andrew B Goldstone²

Affiliations

¹ Department of Epidemiology and Population Health, Stanford University, Stanford, Calif. Electronic address: baiocchi@stanford.edu.
² Department of Cardiothoracic Surgery, Stanford University, Stanford, Calif.

PMID: 33229182
DOI: 10.1016/j.jtcvs.2020.09.134

No abstract available

Keywords: bias; causality; confounding; matching; propensity scores.

Publication types

Editorial

MeSH terms

Bias
Data Interpretation, Statistical
Evidence-Based Medicine / statistics & numerical data*
Humans
Models, Statistical*
Observational Studies as Topic
Propensity Score
Research Design / statistics & numerical data*