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Evidence-based effect size estimation leads to elaborating assumptions in light of empirical evidence and showing the extent to which assumptions are robust.
To justify these assumptions, we propose evidence-based effect size estimation: anchoring assumptions in the published literature as much as possible, preferably to results from randomized controlled trials.
This evidence-based effect size estimation may be used to produce a range of empirically-informed effect size and consequent sample size estimates.
It may be that at least some researchers have employed a similar process in grant applications and would therefore see nothing novel about evidence-based effect size estimation.
We propose a four-step process of evidence-based effect size estimation, especially for situations when there is evidence from pre-post studies but little or no evidence from randomized controlled trials.
Evidence-based effect size estimation helps justify assumptions in light of empirical evidence and can lead to more realistic sample size calculations, an outcome that would be of great benefit for the field of complementary and alternative medicine.
We illustrate evidence-based effect sized estimation for a newly developing area of interest, acupuncture in the treatment of fatigue in patients who have completed primary treatment for cancer.
The evidence-based perspective to sample size estimation determines appropriate trial size by examining its potential impact on the literature.
Evidence-based recommendations for the a priori estimation of sample size are needed for qualitative concept elicitation (CE) interview studies in clinical outcome assessment (COA) instrument development.
In order to create an evidence-based approach to emergency paediatric weight estimation, it is crucial to discover which methods predict weight most accurately and which are most appropriate for emergency use.
Needs-based frameworks offer an evidence-based approach to workforce planning that put estimation of need at the centre.
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CEO of Professional Science Editing for Scientists @ prosciediting.com