Learn what residual standard deviation is, how to calculate it in regression analysis, and why it's crucial for measuring predictability and goodness-of-fit in data modeling.

Background Globally, adolescent mothers and their children have poorer health outcomes. However, little is known regarding ...

This important study used five metrics to compare the cost-effectiveness of intramural and extramural research funded by the National Institutes of Health in the United States between 2009 and 2019.

Univariate analysis showed that factors such as grade level, family economic status, reasons for choosing nursing major, exposure to AI related courses/training, and daily AI usage time had ...

Objective To clarify whether atherogenic index of plasma (AIP), a comprehensive indicator reflecting both the protective and ...

Introduction The Sport Mental Health Assessment Tool-1 (SMHAT-1) was developed to screen elite athletes for mental health concerns. Previous work demonstrated high false negative rates (FNRs) for the ...

Background Despite global efforts to improve nutrition, young women aged 15–24 years in low-income and middle-income countries (LMICs) face persistent dual burdens of malnutrition, marked by high ...

Introduction Stroke is the second leading cause of death and disability creating a huge economic burden annually. Robot-assisted training (RT) is a promising therapy in stroke rehabilitation, but for ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Standard linear regression predicts a single numeric value ...