2016
DOI: 10.1056/nejmms1604593
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Assessing the Gold Standard — Lessons from the History of RCTs

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Cited by 481 publications
(389 citation statements)
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“…84 Moreover, there is growing interest in the use of observational data, including big data and real-world data, to make causal inferences about the efficacy of novel treatments. 85,86 One justification for this interest is that it may not be feasible or ethical to conduct RCTs for highly promising medical practices.…”
Section: Discussionmentioning
confidence: 99%
“…84 Moreover, there is growing interest in the use of observational data, including big data and real-world data, to make causal inferences about the efficacy of novel treatments. 85,86 One justification for this interest is that it may not be feasible or ethical to conduct RCTs for highly promising medical practices.…”
Section: Discussionmentioning
confidence: 99%
“…Pre-specified endpoints, controls, randomization and blinding cannot be discarded without sacrificing actionable clinical information 5 .…”
Section: No Free Lunchmentioning
confidence: 99%
“…Much of the power of this argument comes from an implicit idea that since RCTs are used in medical research, and since medical research has clearly provided many benefits to humanity, the use of RCTs must therefore by extension be good in other domains. However, even in the medical research, the use of RCTs is far from either uncontested or seen as a 'gold standard', as Bothwell et al (2016) elegantly demonstrate. In medical research, RCTs are seen as just one kind of evidence-mainly in pharmaceutical settingsand other evidence (from qualitative case studies to observational epidemiology) are more commonly utilised in practice.…”
Section: Introductionmentioning
confidence: 99%