Everyone should care deeply about statistical power and effect size given that the current estimates of wasted nonreproducible and exaggerated research findings range from 50 to 85%, combined with the mandates from the National Institutes of Health (NIH) that proposal reviewers focus on scientific rigor and investigators consider sex as a biological variable. In this Viewpoint, we provide recommendations and resources regarding power analyses aimed at enhancing rigor, and hence decreasing waste, when designing experiments. As part of this effort, we also make recommendations for reporting key statistics that will aid others in estimating sample size based on published research.
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http://dx.doi.org/10.1021/acschemneuro.7b00341 | DOI Listing |
J Neurol
January 2025
Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Background: The cognitive and behavioural changes that occur in around 50% of people with amyotrophic lateral sclerosis (ALS) may significantly affect people around them, contributing to heightened burden, anxiety, and depression. Despite existing evidence linking behavioural impairment to caregiver distress, the role of cognitive impairment remains less clear, with mixed findings on its impact.
Methods: This study assessed the influence of cognitive and behavioural impairments in people with ALS on the distress of their nominated informants.
Clin Transl Med
January 2025
Department of Dermatology and Allergy, University Hospital of Munich, Ludwig-Maximilian-University, Munich, Germany.
Background: Cancer immunotherapy has transformed metastatic cancer treatment, yet challenges persist regarding therapeutic efficacy. RECQL4, a RecQ-like helicase, plays a central role in DNA replication and repair as part of the DNA damage response, a pathway implicated in enhancing efficacy of immune checkpoint inhibitor (ICI) therapies. However, its role in patient response to ICI remains unclear.
View Article and Find Full Text PDFGenet Epidemiol
January 2025
Interdisciplinary Program of Bioinformatics, College of Natural Science, Seoul National University, Seoul, South Korea.
In this article, we proposed a new method named fused mixed graphical model (FMGM), which can infer network structures associated with dichotomous phenotypes. FMGM is based on a pairwise Markov random field model, and statistical analyses including the proposed method were conducted to find biological markers and underlying network structures of the atopic dermatitis (AD) from multiomics data of 6-month-old infants. The performance of FMGM was evaluated with simulations by using synthetic datasets of power-law networks, showing that FMGM had superior performance for identifying the differences of the networks compared to the separate inference with the previous method, causalMGM (F1-scores 0.
View Article and Find Full Text PDFMed J Malaysia
January 2025
National University of Malaysia, Faculty of Medicine, Department of Medicine, Kuala Lumpur, Malaysia.
Introduction: Stroke is a major cause of morbidity and mortality worldwide. While electroencephalography (EEG) offers valuable data on post-stroke brain activity, qualitative EEG assessments may be misinterpreted. Therefore, we examined the potential of quantitative EEG (qEEG) to identify key band frequencies that could serve as potential electrophysiological biomarkers in stroke patients.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
Institute of High Pressure Physics, Polish Academy of Sciences, Warsaw 01-142, Poland.
Ultrasmall micro-light-emitting diodes (μLEDs), sized below 10 μm, are indispensable to create the next-generation augmented and virtual reality (AR/VR) devices. Their high brightness and low power consumption could not only enhance the user experience by providing vivid and lifelike visuals but also extend device longevity. However, a notable challenge emerges: a decrease in efficiency with a reduced size.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!