2023
DOI: 10.1001/jamainternmed.2023.2067
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Detecting Selection Bias in Observational Studies—When Interventions Work Too Fast

Abstract: This Viewpoint discusses the limitations that observational studies have in drawing causal inferences.

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Cited by 7 publications
(5 citation statements)
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“…Within 1 year, those who had received sub‐therapeutic ECT had a very similar OR for all‐cause mortality as those who had received therapeutic ECT. Further, when inspecting the Kaplan‐Meier curves we could see a separation in mortality happening implausibly early, which might indicate selection bias 45 . Potential mechanisms by which ECT may increase survival are both behavioral and biological.…”
Section: Discussionmentioning
confidence: 97%
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“…Within 1 year, those who had received sub‐therapeutic ECT had a very similar OR for all‐cause mortality as those who had received therapeutic ECT. Further, when inspecting the Kaplan‐Meier curves we could see a separation in mortality happening implausibly early, which might indicate selection bias 45 . Potential mechanisms by which ECT may increase survival are both behavioral and biological.…”
Section: Discussionmentioning
confidence: 97%
“…Further, when inspecting the Kaplan-Meier curves we could see a separation in mortality happening implausibly early, which might indicate selection bias. 45 Potential mechanisms by which ECT may increase survival are both behavioral and biological.…”
Section: Discussionmentioning
confidence: 99%
“…Post hoc adjustments may be wholly inadequate for controlling for underlying bias [ 11 ]. Specific natural experiment study designs, such as regression discontinuity, may allow for causal inference if falsification data are included [ 25 ]. Adequately powered randomized studies remain an even more reliable way to determine VE against severe disease.…”
Section: Discussionmentioning
confidence: 99%
“…Alternatively, one can identify evidence of healthy vaccinee bias if a decrease in death rate among the vaccinated occurs too quickly to be attributable to the vaccine [ 25 ]. This bias can be demonstrated visually in a Kaplan–Meier curve, which reveals a difference in death rates by vaccination status within days of the first dose of vaccination (before an effect against death is expected).…”
Section: Introductionmentioning
confidence: 99%
“…5,6,41 Rates of TKA are increasing markedly, vary considerably by region, and may be influenced by several factors related to the patients, clinicians, and health systems. 2,[42][43][44][45][46][47][48][49][50] Controlling for these factors in studies is challenging, especially in observational designs, 51,52 and may result in overestimating a causal effect of knee arthroscopic surgery on delaying or hastening TKA.…”
Section: Introductionmentioning
confidence: 99%