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Using the E-Value to Assess the Potential Effect of Unmeasured Confounding in Observational Studies.
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Using the E-Value to Assess the Potential Effect of Unmeasured Confounding in Observational Studies.
Using the E-Value to Assess the Potential Effect of Unmeasured Confounding in Observational Studies. JAMA. 2019 Feb 12; 321(6):602-603.
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PubMed
subject areas
Bariatric Surgery
Cerebrovascular Disorders
Coronary Disease
Data Interpretation, Statistical
Humans
Obesity, Morbid
Proportional Hazards Models
Statistics as Topic
authors with profiles
Sebastien Haneuse, Ph.D.
Tyler John VanderWeele, Ph.D.