The ReproSci project retrospectively analyzed the reproducibility of 1006 claims from 400 papers published between 1959 and 2011 in the field of Drosophila immunity. This project attempts to provide a ...

Abstract: In this paper, we present numerical uncertainty quantification using polynomial chaos expansion and variance-based global sensitivity analysis of a microstrip fabricated on IC-substrates.

Objectives Although breastfeeding is associated with lower postnatal depression and anxiety, limited research exists regarding long-term maternal mental health outcomes. This study examined the ...

Background Inflammatory bowel disease (IBD) arises from complex interactions among diet, host and gut microbiome. Although diet influences intestinal inflammation, the microbial and metabolic pathways ...

Identify budget overages and savings to forecast future costs more accurately. Use variance analysis to pinpoint operational areas needing financial adjustment. Regularly update budgets based on ...

Many finance teams treat variance analysis as a box-checking exercise: Set a threshold, flag the swing, move on. That’s why so many controllers spend days chasing noise while risks slip through. It’s ...

How ANOVA helps ensure process data lead to accurate, defensible decisions. The two-sample t-test determines if two population means are equal. Typical applications involve testing whether a new ...

Abstract: The Allan variance analysis method is a widely used technique for evaluating random noise errors in Micro-ElectroMechanical System Inertial Measurement Units (MEMS-IMUs). However, the ...

This session, part of the Statistical analysis in systematic reviews series, gave a short, non-technical, introduction to meta-analysis, which is the statistical method used for combining results ...