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Randomized controlled trials (RCTs) are considered the most robust research design to determine the effectiveness of interventions.
After all even the most robust research on human behavior only tells us what works for some of the people, some of the time.
Randomized control trials (RCTs) are widely regarded as the most robust research designs for assessing the efficacy of medical and behavioral interventions [ 1, 2].
The authors concluded that group cognitive-behavioural and psycho-educational interventions with a specific focus on cancer specific distress show the most robust research evidence for efficacy, however, further research is required [ 20].
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Perhaps one of the most robust areas of research in this topic focuses on probabilistic models of the type we reviewed above.
Meta-analytical reviews have confirmed that deficient inhibitory functions, especially executive motor inhibition, are among the most robust findings in ADHD research [ 15, 16].
The P300 is one of the most robust components within ERP research and the amplitude of the P300 component rises with lower objective probability and lower subjective certainty about the occurrence of the target stimulus [ 2].
A benchmark for robustness is currently lacking in the NoSQL ecosystem, and software engineers looking for the most robust database would benefit from research into this area.
The prospective relationship between depressive symptomatology and increased risk of incident frailty appeared to be the most robust, although most of the research has focused on this question.
Gold nanoparticles (GNPs) and other NPs have emerged as one of the most robust and flexible tools in cancer research.
The most robust type of evidence addressing the research question consists of studies in which there was a deliberate change in the sucrose component of diet under controlled or semicontrolled conditions in normal adults.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com