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Capturing Real-World Habitual Sleep Patterns With a Novel User-Centric Algorithm to Preprocess Fitbit Data in the All of Us Research Program: Retrospective Observational Longitudinal Study

Capturing Real-World Habitual Sleep Patterns With a Novel User-Centric Algorithm to Preprocess Fitbit Data in the All of Us Research Program: Retrospective Observational Longitudinal Study

Mann-Whitney U tests and chi-square tests were used to compare continuous and categorical variables, respectively, between participants included and excluded from the analytical data set. The is Main Sleep and TSP algorithms were applied to sequence-level Fitbit data on the Researcher Workbench using the R programming language (R Foundation) [22]. The number of primary versus nonprimary sleep logs identified by the 2 algorithms was evaluated using a 2×2 contingency table.

Hiral Master, Jeffrey Annis, Jack H Ching, Karla Gleichauf, Lide Han, Peyton Coleman, Kelsie M Full, Neil Zheng, Douglas Ruderfer, John Hernandez, Logan D Schneider, Evan L Brittain

J Med Internet Res 2025;27:e71718

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Evaluating Tailored Learning Experiences in Emergency Residency Training Through a Comparative Analysis of Mobile-Based Programs Versus Paper- and Web-Based Approaches: Feasibility Cross-Sectional Questionnaire Study

Evaluating Tailored Learning Experiences in Emergency Residency Training Through a Comparative Analysis of Mobile-Based Programs Versus Paper- and Web-Based Approaches: Feasibility Cross-Sectional Questionnaire Study

The chi-squared test was used to analyze differences in assessment platform performance, with statistical significance set at P This pilot study received ethical approval from the Taipei City Hospital institutional review board (TCHIRB-11110007-E). The study was conducted after being approved by the Taipei City Hospital institutional review board on November 24, 2022. The survey was anonymous. The informed consent was waived by the Taipei City Hospital institutional review board.

Hsin-Ling Chen, Chen-Wei Lee, Chia-Wen Chang, Yi-Ching Chiu, Tzu-Yao Hung

JMIR Med Educ 2025;11:e57216

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Reduction of Salt and Sugar Contents in Canteen Foods and Intakes By Students and Staff at a Malaysian Higher Education Institution: Protocol for a Mixed Methods Study

Reduction of Salt and Sugar Contents in Canteen Foods and Intakes By Students and Staff at a Malaysian Higher Education Institution: Protocol for a Mixed Methods Study

Categorical variables will be reported as frequencies (percentages) and compared using chi-square tests or Fisher exact tests where appropriate. To account for individual dietary variability, including meals consumed outside campus, several adjustments will be made.

Yook Chin Chia, Yee-How Say, Maong Hui Cheng, Felicia Fei Lei Chung, Tze Pheng Lau, Pei Boon Ooi

JMIR Res Protoc 2025;14:e69610

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Predicting Pathological Complete Response Following Neoadjuvant Therapy in Patients With Breast Cancer: Development of Machine Learning–Based Prediction Models in a Retrospective Study

Predicting Pathological Complete Response Following Neoadjuvant Therapy in Patients With Breast Cancer: Development of Machine Learning–Based Prediction Models in a Retrospective Study

Univariate analysis was performed using 2-tailed t tests and chi-square tests to identify significant differences between the p CR and non-p CR groups. Features that exhibited statistical significance (P The performance of the model was evaluated using accuracy and the area under the receiver operating characteristic curve (AUROC).

Chun-Chi Lai, Cheng-Yu Chen, Tzu-Hao Chang

JMIR Cancer 2025;11:e64685

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