Multicollinearity is a common issue in multiple regression analysis, where the presence of high correlation among predictor ...

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...

“The consistent association between GP5 responses and ETD suggests the GP5’s ability to capture how well patients tolerate ...

Background Although voting is recognised as a social determinant of health, the association between electoral participation ...

The reduction of health inequalities has been a priority of researchers, decision-makers and practitioners for many years.

This study presents valuable findings from a spatiotemporal analysis of arbovirus case notification data from 2013 to 2020 in Brazil, reporting associations between covariates representing potential ...

Alnylam Pharmaceuticals, Inc. (Nasdaq: ALNY), the leading RNAi therapeutics company, today announced results from new post hoc analyses of the HELIOS-B Phase 3 study of AMVUTTRA® (vutrisiran), an RNAi ...

Medical device makers use AI to turn EU regulatory challenges into competitive advantages via supply chain optimization.

A machine learning model using routine lab data at 3 months postdiagnosis accurately predicted mortality or liver transplant risk in autoimmune hepatitis.

Quantitative research often feels like the most structured side of inquiry. It deals with numbers, measurement, and objectivity, offering a clear framework for testing ideas and identifying ...