International Monetary Fund

Nowcasting Growth Using the Bayesian Structural Time Series Model

In light of recent global shocks and rising external volatility, there is a growing need to effectively monitor short-term ...

Statistics that tell the whole truth? It's as easy as ABC

It's said that statistics don't lie, but they often don't tell the whole truth, either. A Cornell statistics expert has come up with a method he believes can boost statistical power and significantly ...
Scientific Research Publishing

Determining Length of Stay Patterns in Psychiatric Care: A Survival Analysis Approach at Kisumu County Referral Hospital ()

Length of stay is a crucial metric in healthcare management, reflecting the duration a patient occupies a hospital bed. According to the Kenya National Commission of Human Rights, around 25% of ...
Lupus Science & Medicine

Left Ventricular Mass Index as an independent predictor of major adverse cardiovascular and cerebrovascular events in patients with SLE

Background Although the increased risk of cardiovascular disease in patients with SLE is well-documented, effective tools for risk stratification remain elusive. This study sought to explore the ...
Journal of NeuroInterventional Surgery

Medical and endovascular treatment for acute large vessel occlusion with mild stroke: a real-world nationwide registry

Background Endovascular therapy (EVT) is standard treatment for large vessel occlusion in patients with a National Institutes ...
BMJ

Estimating prevalence and predictors of glucose-lowering overtreatment among older adults with type 2 diabetes in long-term care and community settings: a machine learning ...

Objective To estimate the prevalence of potential overtreatment of type 2 diabetes mellitus (T2DM) among older adults and to develop and compare predictive models to identify patient and physician ...
Devdiscourse

Stacked AI model improves credit default forecasting

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...
BMJ Open

Knowledge, attitudes and practices towards urinary calculi among patients: a cross-sectional study in Jiangsu Province, China

Objectives This study aimed to investigate the knowledge, attitudes and practices (KAP) of patients with urinary calculi in China, where prior KAP research on this condition is lacking. Design A cross ...
IEEE

Evaluating Support Vector Machine and Logistic Regression: A Machine Learning-Based Statistical Study for Breast Cancer Diagnosis

Abstract: In the context of binary classification for breast cancer diagnosis, this paper offers a comparative statistical analysis of two popular classification techniques, Support Vector Machine ...
PNAS

Cryo-EM heterogeneity analysis using regularized covariance estimation and kernel regression

Reconstructing the diverse conformations of biomolecules from cryoelectron microscopy datasets remains a longstanding challenge. Here, we present a method that surpasses current approaches across ...
BMJ

Exercise based cardiac rehabilitation for atrial fibrillation: Cochrane systematic review, meta-analysis, meta-regression and trial sequential analysis

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, ...