The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Nature

mProphet: automated data processing and statistical validation for large-scale SRM experiments

Selected reaction monitoring (SRM) is a targeted mass spectrometric method that is increasingly used in proteomics for the detection and quantification of sets of preselected proteins at high ...
Business Wire

Beaconcure Announces Launch of Automated Validation of Statistical Analysis Outputs Against ADaM Datasets

BOSTON--(BUSINESS WIRE)--Beaconcure, a leader in AI-enabled clinical data validation and automation, has launched its new Verify capability to automate validation of statistical analysis outputs ...
techtimes

The Role of Assumptions in Statistical Model Selection

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...