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A dataset of messages exchanged between the interns and nurses was cleaned and analyzed using R, specifically using the dpylr package. We defined an “active” intern or nurse as someone who sent or received a message during a given period. Interaction frequencies were summarized using measures of central tendency.
JMIR Med Inform 2025;13:e66859
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Reference 43: R: A language and environment for statistical computing(https://www.r-project.org/)
JMIR Public Health Surveill 2025;11:e67370
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By contrast, a meta-analysis by Schafer et al [8] found that healthy coping during distress was associated with reduced depressive and anxious symptoms (r ranging from –0.29 to –0.50) among adolescents and young adults.
JMIR Res Protoc 2025;14:e67764
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Monte Carlo simulations computed in R (R Foundation for Statistical Computing) were used to estimate the required sample size for our proposed models. Our analyses, based on simulated data, suggest that a total sample size of 300 provides enough statistical power (up to 90%) to detect anticipated effect sizes on primary outcomes of cognitive capacity and cognitive bias based on values from our group and those reported in the literature (CR: d=0.50 and MCT: g=0.27) [9,20,27,31].
JMIR Res Protoc 2025;14:e63269
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Health Care Social Robots in the Age of Generative AI: Protocol for a Scoping Review
JMIR Res Protoc 2025;14:e63017
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Analyses were performed using R (version 4.3.3; R Core Team). App use is described using descriptive statistics.
Of the 43 students, 25 (58%) were classified as low-risk drinkers (AUDIT Score ≤7), 11 (26%) were classified as hazardous drinkers (AUDIT Score between 8 and 15), and 6 (14%) were classified as alcohol dependent drinkers (AUDIT score >15).
JMIR Hum Factors 2025;12:e69873
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