Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in ...
TSD 20: Multivariate meta-analysis of summary data for combining treatment effects on correlated outcomes and evaluating surrogate endpoints (PDF, 1.2MB) – October 2019 – Updated December 2022: ...
Professor Klaus Nordhausen develops modern multivariate statistical methods to analyze high-dimensional and large datasets in different fields.
Combination of Castle Biosciences’ DecisionDx-UM and PRAME show predicting outcomes in patients with uveal melanoma: Study: Friendswood, Texas Friday, December 19, 2025, 15:00 H ...
Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R, databases and big-data stats. These are all free to audit, and enrolment ...
Objective We evaluated the long-term association between the COVID-19 pandemic and the language development of children aged ...
A research team reveals that soils surrounding intensive livestock farms can become hotspots for antibiotic resistance genes ...
Delayed consultation represents a major barrier to effective stroke management in Pointe-Noire. It is associated with ...
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MEA-driven graph modeling identifies early connectivity changes linked to autism
Multi-electrode arrays (MEAs) provide a noninvasive interface with sub-millisecond temporal resolution and long-term, ...
The Office for National Statistics is calling on housing sector professionals to help shape what types of information are ...
Objectives To explore the levels of health-related functioning during pregnancy and postpartum and its association with non-severe maternal morbidities. Design An observational longitudinal study.
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