... . phylogenetics statistical models deep learning neural network software O RIGIN A L U N EDITED M AN U SCRIPT Version dated: May 7, 2025 RH: phylogenetic model exploration with phyddle phyddle: software for exploring phylogenetic models with deep learning Michael J. Landis1 Ammon Thompson2 1Department...

...:https://dbpia.nl.go.kr/pages/standard-publication-reuse-rights ) Abstract Introduction This paper discusses statistical models for ordinal data that may be more appropriate for smoking rate outcomes than are models that assume continuous measurement and normality. Smoking rate outcomes often have distributions...

...., K.P., M.D., M.M., M.R., P.T., R.L., and T.C. are shareholders in Proteomics International. Otherwise, the authors have no conflicts of interest. TRIAL REGISTRATION NUMBER N/A. endometriosis diagnosis proteomics statistical models plasma protein biomarkers The Royal Women’s Hospital...

... transcriptomics spatial domain recognition statistical models graph neural network contrastive learning Hainan Provincial Natural Science Foundation of China 324MS009 National Natural Science Foundation of China 10.13039/501100001809 62261018 62131004 In the study of spatial resolution...

..., needing further exploration. Preserved attention and rehabilitation dose are candidate predictors of UL motor recovery. Attention Motor Function Neuroimaging Neurophysiology Prediction Rehabilitation Statistical Models Stroke Italian Ministry of Health 10.13039/501100003196 RF-2018-12366899 GR...

... maternal exposure statistical models National Institutes of Health 10.13039/100000002 and T32ES10957 to K.J.B. P30ES006096 R01ES031054 R01LM013222 to C.B. As omics technologies have developed, the need for powerful statistical methods that can overcome the unique challenges of high dimensionality...

... statistics geography spatiotemporal analysis statistical models National Institute of Health’s National Heart, Lung, and Blood Institute R01HL158802 to H.Q. After consistent declines since at least the 1970s, cardiovascular disease (CVD) death rates in the United States began to plateau in 2010...

... reveals distinctive features of relational event models that have been ignored or overlooked in received empirical studies. auxiliary variables goodness of fit healthcare organizations interorganizational networks relational event models statistical models for networks Behavioural units of interest...

... prioritization pathway analysis bioinformatics computational biology statistical models Harvard Medical School Aging Initiative Pilot US National Institutes on Aging R01 AG082093 National Institutes of Health 10.13039/100000002 R35 CA232105 R01 AG058816-01 National Cancer Institute...

.... To uncover risk relationships in early pregnancy, it is critical to carefully define the role of exposure timing in the underlying causal hypothesis. alcohol consumption bias data analysis maternal exposure pregnancy spontaneous abortion statistical models National Institutes of Health 10.13039...

... and distributed under the terms of the Oxford University Press, Standard Journals Publication Model ( https://dbpia.nl.go.kr/pages/standard-publication-reuse-rights ) Graphical Abstract Graphical Abstract point processes sleep apnea statistical models National Institute of Neurological Disorders and Stroke...

... syndrome, septic shock, multiorgan failure, and death ( 4 , 5 ). Activities of daily living Coronavirus Lifestyle Obesity Statistical models National Institute on Aging 10.13039/100000049 IRP 10.13039/501100001708 National Institutes of Health 10.13039/100000002 Epidemiologic evidence...

... and addressing gender and other representational biases in the clinical trials literature. Conclusion Addressing representational biases in data for training NLP embeddings can lead to better results on downstream tasks for underrepresented populations. word embeddings statistical models bias algorithms...

... resonance imaging Statistical models Differential diagnosis Orofacial lesions (4) S I b = S I 0   e − b   ⋅   A D C The OsiriX MD software programme version 10.0.5 (Pixmeo SARL, Bernex, Switzerland) and ImageJ software programme version 1.5 (National Institutes of Health...

... goats statistical models Abstract Animal nutrition models can be useful to gain an understanding of factors responsible for and predict biological responses. However, specific models developed can vary among statistical methods employed, especially with relatively small datasets. In this meta-analysis...

... temporal artery biopsy). In those with low to medium probability, TA-MRA can help rule out the disease, but this continues to be a challenging diagnostic population. giant cell arteritis magnetic resonance imaging statistical models Rheumatology key messages Negative TA-MRA rules out GCA in those...

.... The more discerning forecast of the ML-based MDN approach affords opportunities for guiding intelligent schedule design and day-of-surgery operational decisions. machine learning perioperative medicine statistical models surgical duration Costs of surgery account for roughly a third of all health-care...

... would benefit from atrial fibrillation screening in the United Kingdom. Atrial fibrillation machine learning statistical models sensitivity and specificity primary health care Atrial fibrillation is the most common arrhythmia (irregular heart rhythm disorder), and is associated with disability...

...:https://dbpia.nl.go.kr/journals/pages/open_access/funder_policies/chorus/standard_publication_model ) Abstract Analyzing data on ART presents unique and sometimes complicated challenges related to choosing the unit(s) of analysis and the statistical model. In this commentary, we provide examples of how these challenges...

...) and higher than infections induced by sporozoite (0.47/day), but parasite life-cycles were similar (38.8 hours). CHMI induced blood stage malaria parasite growth rate Plasmodium falciparum 3D7 statistical models The growth rate of Plasmodium parasites in the blood of infected...