The Problem of Multiple Comparisons This animated video reviews the problem of multiple comparisons in research studies and explains how performing multiple statistical hypothesis tests can produce associations simply by chance.
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Low-Intensity Online Intervention for Mental Distress Among Help-Seeking Young People in Hong Kong: A Randomized Clinical Trial.
JAMA Netw Open
January 2025
Department of Psychiatry, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong.
Importance: Mental health issues among young people are increasingly concerning. Conventional psychological interventions face challenges, including limited staffing, time commitment, and low completion rates.
Objective: To evaluate the effect of a low-intensity online intervention on young people in Hong Kong experiencing moderate or greater mental distress.
Induction of Antigen-Specific Tolerance in a Multiple Sclerosis Model without Broad Immunosuppression.
ACS Nano
January 2025
Division of Pharmacoengineering and Molecular Pharmaceutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States.
Multiple sclerosis (MS) is a severe autoimmune disorder that wreaks havoc on the central nervous system, leading to a spectrum of motor and cognitive impairments. There is no cure, and current treatment strategies rely on broad immunosuppression, leaving patients vulnerable to infections. To address this problem, our approach aims to induce antigen-specific tolerance, a much-needed shift in MS therapy.
View Article and Find Full Text PDFGeneral Kernel Machine Methods for Multi-Omics Integration and Genome-Wide Association Testing With Related Individuals.
Genet Epidemiol
January 2025
Department of Biostatistics, University of Washington, Seattle, Washington, USA.
Integrating multi-omics data may help researchers understand the genetic underpinnings of complex traits and diseases. However, the best ways to integrate multi-omics data and use them to address pressing scientific questions remain a challenge. One important and topical problem is how to assess the aggregate effect of multiple genomic data types (e.
View Article and Find Full Text PDFUncovering dissipation from coarse observables: A case study of a random walk with unobserved internal states.
J Chem Phys
January 2025
Department of Chemistry and Oden Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas 78712, USA.
Inferring underlying microscopic dynamics from low-dimensional experimental signals is a central problem in physics, chemistry, and biology. As a trade-off between molecular complexity and the low-dimensional nature of experimental data, mesoscopic descriptions such as the Markovian master equation are commonly used. The states in such descriptions usually include multiple microscopic states, and the ensuing coarse-grained dynamics are generally non-Markovian.
View Article and Find Full Text PDFBackground: While aerobic exercises have demonstrated efficacy in slowing cognitive decline and improving psychological symptoms associated with cognitive impairments, they may not be feasible due to multiple disabilities. Other gentle exercises with mindful approaches, such as "Yoga-like", have been explored but lack clear evidence.
Aim: To assess the efficacy of a "Yoga-like" intervention on cognitive and psychological features in patients with mild to moderate Alzheimer Disease (AD).
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