Yahoo Finance

Statistical Methods for Process Validation Training Webinar: Enhancing Statistical Skills for Validation Projects, Focusing on Variance, Sample Distributions, and Process ...

Dublin, Nov. 05, 2025 (GLOBE NEWSWIRE) -- The "Statistical Methods for Process Validation (Sept 24, 2025)" training has been added to ResearchAndMarkets.com's offering. In this program, we will ...
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 ...
MD&M East

Statistical practices in assay development and validation

The key statistical objective in IVD device evaluation is establishing performance criteria while minimizing bias and maximizing precision. While the statistical considerations and methodologies ...
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 ...
usace.army.mil

Picatinny statistics group pioneers new mathematical method to aid weapon modeling and simulation

PICATINNY ARSENAL, N.J.--In case you've forgotten the adage that "uncertainty is the only certainty," Picatinny Arsenal's Statistics Group is prepared to remind you. Its latest initiative known as ...
The American Journal of Managed Care

Validation of the FINE-CKD Model for Future Health Technology Assessments for Finerenone in Patients With Chronic Kidney Disease And Type 2 Diabetes

BACKGROUND: The FINE-CKD model was developed to estimate the cost-effectiveness of finerenone in patients with chronic kidney disease (CKD) and type 2 diabetes (T2D). OBJECTIVE: To perform internal ...