Improving the conduct and reporting of newer methodological approaches Causal inference, the multidisciplinary field focused ...

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 ...

Abstract: Compared to traditional remote sensing classification and inversion techniques, remote sensing statistical inference is a novel method for rapidly estimating the statistical properties of ...

Health researchers need to fully understand the underlying assumptions to uncover cause and effect. Timothy Feeney and Paul Zivich explain Physicians ask, answer, and interpret myriad causal questions ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

President Trump fired the head of the BLS, claiming manipulated jobs numbers after a report of slowed hiring. While revisions were more dramatic than usual, these numbers are always revised. WSJ ...

French AI darling Mistral is keeping the new releases coming this summer. Just days after announcing its own domestic AI-optimized cloud service Mistral Compute, the well-funded company has released ...

ABSTRACT: This study investigates the application of the two-parameter Weibull distribution in modeling state holding times within HIV/AIDS progression dynamics. By comparing the performance of the ...

Racism in healthcare can have negative consequences for both those being treated and healthcare workers, leading to higher risks of illness and, in some cases, lower standards of care for people of ...

No universal definition of a small sample size has been established and the concept of small depends on the type of statistical analysis. Studies with small sample sizes can be associated with ...