If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...

The advantage of Python is that you can apply operations to larger datasets with hundreds, even thousands, of data points ...

Background Anti-C1q autoantibodies can disrupt normal complement function, contributing to the formation of pathogenic immune ...

Objective Interstitial lung disease (ILD) represents the most common and severe organ manifestation observed in patients ...

Objectives Metabolic-associated fatty liver disease (MAFLD) is becoming increasingly prevalent worldwide, however, early ...

Introduction Antimicrobial resistance (AMR) is a pressing global health problem disproportionately affecting low- and ...

Background/aim Frequent premature ventricular complexes (PVCs) have historically been regarded as benign in structurally normal hearts, yet emerging evidence suggests substantial cardiovascular risk.

The associations between short‐term exposure to ambient ozone (O 3) pollution and the risks of hospital admissions (an indicator for morbidity) for different subtypes of cardiovascular disease (CVD) ...

Objective To undertake a contemporary review of the impact of exercise based cardiac rehabilitation (ExCR) for patients with atrial fibrillation (AF). Data sources CENTRAL, MEDLINE, Embase, PsycINFO, ...

Scholars trained in the use of factorial ANOVAs have increasingly begun using linear modelling techniques. When models contain interactions between continuous variables (or powers of them), it has ...

Violence has expanded its scope in recent years. The shooting of two Minnesota state lawmakers has sent shockwaves across the nation. This grim development marks a disturbing escalation: while ...

Background and objectives Biologically informative markers like glial fibrillary acidic protein (GFAP) and neurofilament light chain (NfL) may help predict confirmed disability worsening (CDW) in ...