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Cocreating the Visualization of Digital Mobility Outcomes: Delphi-Type Process With Patients
JMIR Form Res 2025;9:e68782
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Effect size dz = 0.39
α err prob = 0.05
Input: Tail(s) = 2
Power (1-β err prob) = 0.80
Output: Noncentrality parameter δ = 2.8659030
Critical t= 2.0057460
Df = 53
Total sample size = 54
Actual power = 0.8033525
The principal investigator (PI) and co-investigators (telenurses) received training in telenursing such as communication and behavior modification techniques, and self-management skills on diabetes including blood sugar control and foot care.
JMIR Res Protoc 2025;14:e71849
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Knowledge Sharing Maturity Model for Medical Imaging Departments: Development Study
JMIR Hum Factors 2025;12:e54484
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Current Technological Advances in Dysphagia Screening: Systematic Scoping Review
Some studies (4/24, 17%) used statistical methods such as t tests or regressions to evaluate the feature importance in relation to the target variable [40,44,49,53]. These statistical methods help identify the most relevant feature and reduce computational demand. There were other feature selection methods used, such as the minimum redundancy, maximum relevancy method [50,51] and precise matching analysis [40].
J Med Internet Res 2025;27:e65551
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