Bayes' theorem is a statistical formula used to calculate conditional probability. Learn how it works, how to calculate it ...

If the FDA follows through with the proposed guidelines, and they are not fatally twisted by pressure from the medical ...

This webinar introduced healthcare researchers to Bayesian meta-analysis methods, challenging the perception that these methods are inaccessible to non-statistical researchers. The session ...

Determining the causal effect of special education is a critical topic when making educational policy that focuses on student achievement. However, current special education research is facing ...

Abstract: We present a novel recursive Bayesian estimation framework using B-splines for continuous-time 6-DoF dynamic motion estimation. The state vector consists of a recurrent set of position ...

Heterogeneity among experimental units can introduce experimental errors, necessitating the use of techniques that enhance statistical inferences to address this issue. One effective approach is ...

Based on the compounding mechanism, a unique discrete probability distribution is investigated in this paper. The Poisson distribution is mixed with a lifetime model called as the Fav-Jerry model. The ...

Abstract: This work studies the problem of jointly estimating unknown parameters from Kronecker-structured multidimensional signals, which arises in applications like intelligent reflecting surface ...

ABSTRACT: Accurate estimation of disease prevalence is crucial for effective public health intervention and resource allocation. Generating data by individual testing methods is often impractical and ...

Benefit of adding Cureety remote patient monitoring (RPM) to usual care during injectable anticancer treatment: The OPTIMACURE multicentric French prospective randomized study. This is an ASCO Meeting ...

This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not include a full text component.