Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...

Logistic regression is a statistical method used to model binary outcome variables, such as whether a patient recovers or not, using a set of predictors. There are many competing methods for ...

There are uncertainties regarding long‐term outcomes of low‐flow, low‐gradient (LFLG) severe aortic stenosis (AS) following transcatheter aortic valve replacement (TAVR). This study investigates ...

ABSTRACT: This article has two objectives. The first is to develop an R script that performs Mardia’s K2 test for assessing multivariate normality (MVN), using both its original asymptotic formulation ...

The heplots package provides functions for visualizing hypothesis tests in multivariate linear models (“MLM” = {MANOVA, multivariate multiple regression, MANCOVA, and repeated measures designs}). It ...

Unmet Social Needs Among Cancer Survivors Who Were Concomitant Caregivers: A Cross-Sectional Analysis of the Health Information National Trends Survey Talquetamab is a G protein–coupled receptor class ...

Abstract: In this paper, we propose a joint conditional graphical Lasso to learn multiple conditional Gaussian graphical models, also known as Gaussian conditional random fields, with some similar ...

SAN FRANCISCO--(BUSINESS WIRE)--Ikigai Labs, the leader in AI for enterprise tabular and time-series data, today announced the launch of its new Demand Forecasting and Planning solution. Built to ...

Abstract: Data that house topological information is manifested as relationships between multiple variables via a graph formulation. Various methods have been developed for analyzing time series on ...