Background Immune-mediated processes leading to childhood type 1 diabetes may begin in fetal life. We hypothesised that a ...

Department of Mathematics, Statistics and Actuarial Science, Faculty of Health, Natural Resources and Applied Sciences, Namibia University of Science and Technology, Windhoek, Namibia. Food insecurity ...

Models of trajectories for disease progression and placebo response were developed for patients with Huntington disease (HD) using natural history data from the Enroll-HD clinical trial and the ...

The MSMS model has recently been introduced to evaluate the risk of chronic diseases.22–24 Its advantages over the classical proportional hazards (PH) model have been discussed in the literature.14 17 ...

In Alzheimer’s disease (AD) diagnosis, joint feature selection for predicting disease labels (classification) and estimating cognitive scores (regression) with neuroimaging data has received ...

Briefly, RDD models are usually estimated by use of local polynomial models, a non-parametric estimation method that is both flexible (because it does not rely on linearity or other functional forms ...

Machine learning (ML) methods using ‘Big data,’ or multidimensional data, may improve prediction as they have fewer restrictive statistical assumptions compared to traditional regression models that ...