Reporting quality in clinical research is critical for evidence-based medicine and reproducibility of clinical studies. Previous work has mostly focused on the reporting quality of clinical trials and ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
Versant Media (VSNT) outlook: cord-cutting pressures 2025 revenue/FCF, ad and licensing declines, limited platform growth. See more details.
Gregory, J.M. (2026) Alzheimer’s Disease: Modeling the Effect of Daily Steps . Journal of Behavioral and Brain Science, 16, ...
Out-of-hospital cardiac arrest, or OHCA, is a leading cause of mortality worldwide and 90% of cases are fatal. Patients lose cardiac function and circulation, and every minute they remain untreated ...
Economic models used by governments, central banks and investors are increasingly understating physical climate risk because ...
Introduction Accounting for missing data by imputing or weighting conditional on covariates relies on the variable with missingness being observed at least some of the time for all unique covariate ...
Chances are, you’ve seen clicks to your website from organic search results decline since about May 2024—when AI Overviews launched. Large language model optimization (LLMO), a set of tactics for ...
ABSTRACT: There is a set of points in the plane whose elements correspond to the observations that are used to generate a simple least-squares regression line. Each value of the independent variable ...
This repository provides statistical modeling concepts for the course Statistical Modeling.The task included understanding of Linear models, Nonlinear normal models, Nonnegative response models, Count ...
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