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A methodology for developing dermatological datasets: lessons from retrospective data collection for AI-based applications | BMC Medical Research Methodology

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A methodology for developing dermatological datasets: lessons from retrospective data collection for AI-based applications | BMC Medical Research Methodology

November 5, 2025

In recent years, artificial intelligence (AI) algorithms have demonstrated considerable potential in the medical domain [1]. Dermatology, in…

BioClock—optimizing Bright Light Therapy for adults with depression: a study protocol for a multicenter randomized clinical trial on treatment strategies, response predictors, and chronobiological and neurobiological mechanisms | Trials

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BioClock—optimizing Bright Light Therapy for adults with depression: a study protocol for a multicenter randomized clinical trial on treatment strategies, response predictors, and chronobiological and neurobiological mechanisms | Trials

October 14, 2025

Statistical methods for primary and secondary outcomes {20a} This analysis plan provides the initial framework for examining primary…

Comparing causal inference methods for point exposures with missing confounders: a simulation study | BMC Medical Research Methodology

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Comparing causal inference methods for point exposures with missing confounders: a simulation study | BMC Medical Research Methodology

September 29, 2025

In order to compare the validity of various reasonable but ad hoc analytic approaches to the CCMAR-based estimators,…

Exploration of Likert scale in terms of continuous variable with parametric statistical methods | BMC Medical Research Methodology

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Exploration of Likert scale in terms of continuous variable with parametric statistical methods | BMC Medical Research Methodology

September 29, 2025

Based on the schemes in the previous section, we conducted a simulation study using artificially generated datasets. First,…