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Power analyses were focused on the ability to detect a medium effect size (Cohen d=0.50) at postcondition in the context of a 2-level random coefficients HLM. Given that the primary contrast of interest would be that between CBI and the other study conditions, calculations were focused on detecting significant differences between two active conditions. Where study parameters in this 2-level model were not yet known, we used standard values and varied parameters to approximate an effective sample size.
JMIR Res Protoc 2025;14:e65970
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Exploring Patient Participation in AI-Supported Health Care: Qualitative Study
JMIR AI 2025;4:e50781
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The Impact of Online Labor Platforms on Workforce Management in Health Care
Interact J Med Res 2025;14:e68546
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Cohen d effect sizes for all effects irrespective of statistical significance are reported and interpreted as small (d≥0.3), medium (d≥0.5), and large (d≥0.8) [33]. Odds ratios and 95% CIs are presented for logistic regression results.
J Med Internet Res 2025;27:e66465
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Before accepting the results of the model, we will make sure the results conform to the assumptions of the model (eg, reviewing residual plots), and we will make sure that no observation has undue influence on the estimates produced by the model (eg, Cook D). We will conduct exploratory analyses to examine relationships among variables and their changes in response to the intervention.
JMIR Res Protoc 2025;14:e68082
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