Understanding Homoskedasticity in Regression Modeling With Examples

Discover the importance of homoskedasticity in regression models, where error variance is constant, and explore examples that illustrate this key concept.
Open Heart

Artificial intelligence-based clustering to identify functional risk phenotypes in heart failure

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...
BMJ Open

Associations of oxidative balance score with mortality and cardiovascular events: cohort study from NHANES and UK Biobank

Objective To investigate the associations of oxidative balance score (OBS) with all-cause mortality, cardiovascular mortality and cardiovascular disease (CVD) incidence in two large, population-based ...
eLife

A proteome-wide biochemical screen defines binding determinants of the core autophagy protein LC3B

Human MAP1LC3B (LC3B) binds proteins involved in autophagy and other cellular processes using a degenerate four-residue short linear motif known as the LC3-interacting region (LIR). Biochemical and ...
Gut

Parental obesity and risk of metabolic dysfunction associated steatotic liver disease in adult offspring: UK birth cohort study

Background Metabolic dysfunction associated steatotic liver disease (MASLD), the most common chronic liver disease globally, may originate early in life. While maternal obesity is linked to offspring ...

Understanding CAGR and IRR: Key Differences Explained

Learn the differences between compound annual growth rate (CAGR) and internal rate of return (IRR), two key metrics for assessing investment performance.