Avoidable flaws in observational analyses: an application to statins and cancer
Abstract
The increasing availability of large healthcare databases is fueling an intense debate on whether real-world data should play a role in the assessment of the benefit–risk of medical treatments. In many observational studies, for example, statin users were found to have a substantially lower risk of cancer than in meta-analyses of randomized trials. Although such discrepancies are often attributed to a lack of randomization in the observational...
Paper Details
Title
Avoidable flaws in observational analyses: an application to statins and cancer
Published Date
Oct 1, 2019
Journal
Volume
25
Issue
10
Pages
1601 - 1606
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