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The time-varying information on individual diagnoses; information on sex (male or female), age, educational attainment level (none, short, medium, long, missing, and missing before 1920); and calendar time were included as explanatory variables in the analysis (refer to tables 1/2 in the study by Holm et al [28]). We used an extended Cox model to estimate the effect of these explanatory variables on mortality, allowing for the inclusion of time-varying covariates.
JMIR Cardio 2025;9:e57749
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Applications of Large Language Models in the Field of Suicide Prevention: Scoping Review
J Med Internet Res 2025;27:e63126
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Recruiting Young People for Digital Mental Health Research: Lessons From an AI-Driven Adaptive Trial
J Med Internet Res 2025;27:e60413
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