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Strong sex differences exist in sleep phenotypes and also cardiovascular diseases (CVDs). However, sex-specific causal effects of sleep phenotypes on CVD-related outcomes have not been thoroughly examined. Mendelian randomization (MR) analysis is a useful approach for estimating the causal effect of a risk factor on an outcome of interest when interventional studies are not available.
View Article and Find Full Text PDFUnveiling shadows: A data-driven insight on depression among Bangladeshi university students.
Heliyon
January 2025
Department of Computer Science and Engineering, BRAC University, Dhaka, Bangladesh.
Depression is more than just feeling sad. It is a severe and multifaceted mental health condition that impacts millions of individuals around the globe. Regrettably, it can even be more prevalent in university students of underdeveloped and developing countries like Bangladesh because of academic pressure, family and societal expectations, financial limitations, stigmatized social and cultural norms, unemployment concerns, lack of mental health awareness, etc.
View Article and Find Full Text PDFThe phonation test can distinguish the patient with Parkinson's disease via Bayes inference.
Cogn Neurodyn
December 2025
Department of Physiology, School of Basic Medical Sciences, Chengdu Medical College, Sichuan, 610500 China.
Unlabelled: Parkinson's disease (PD) is a neurodegenerative disease with various clinical manifestations caused by multiple risk factors. However, the effect of different factors and relationships between different features related to PD and the extent of those factors leading to the incidence of PD remains unclear. we employed Bayesian network to construct a prediction model.
View Article and Find Full Text PDFNetwork characteristics of comorbid symptoms in alcohol use disorder.
Ann Med
December 2025
School of Special Education and Rehabilitation, BinZhou Medical University, Yantai, China.
Background: Individuals with alcohol use disorder (AUD) often experience symptoms such as anxiety, depression, and decreased sleep quality. Although these are not diagnostic criteria, they may increase dependence risk and complicate treatment. This study aims to analyze comorbidities and their complex relationships in AUD patients through epidemiological surveys and network analysis.
View Article and Find Full Text PDFCausal inference with cross-temporal design.
Biometrics
January 2025
Department of Biostatistics, Brown University, Providence, RI 02903, United States.
When many participants in a randomized trial do not comply with their assigned intervention, the randomized encouragement design is a possible solution. In this design, the causal effects of the intervention can be estimated among participants who would have experienced the intervention if encouraged. For many policy interventions, encouragements cannot be randomized and investigators need to rely on observational data.
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