Early intervention and effective therapies are transforming multiple sclerosis management, enhancing patient outcomes, and delaying disability progression.

Background: To develop and validate a predictive model for cancer-related fatigue (CRF) in patients with esophageal cancer. Methods: A convenience sample comprising patients diagnosed with esophageal ...

Abstract: The log-binomial regression model is an essential tool for performing relative risk regression to analyze binary outcomes. The Hotelling T2 Control Chart is an effective multivariate process ...

ABSTRACT: This study investigates the persistent academic impacts of the Head Start program, a federal government-funded early childhood intervention, using data from the Early Childhood Longitudinal ...

There are few activewear brands as well known across the globe as Nike. Its Just Do It campaigns, featuring fitness models, professional athletes, and celebrities, are seen year-round on nearly every ...

ABSTRACT: This article critically assessed the validity of five multiple linear regression models across three separate studies. The first examined the cytotoxic properties of ...

Milestone articles have highlighted the frequency and types of statistical errors in research,1–5 yet fundamental errors persist across various disciplines. With a background in biostatistics and over ...

Climate change in response to a change in external forcing can be understood in terms of fast response to the imposed forcing and slow feedback associated with surface temperature change. Previous ...

Prediction We employed a multivariate logistic regression model to predict ICS response in the vitamin D insufficient group. To account for the intrinsic differences in FEV 1 %, we focused on ...

The first trial of the technology showed promise. But it’s about what goes into the model. On March 27, the results of the first clinical trial for a generative AI therapy bot were published, and they ...