Background/aims Up-to-date, stratified estimates of the number of individuals affected by glaucoma in the UK are lacking.

Objective This prospective longitudinal study of a general population sample investigates whether maternal experience of out-of-home care (OHC) constitutes an independent risk factor for the ...

Learn to apply Bayes' theorem in financial forecasting for insightful, updated predictions. Enhance decision-making with ...

Discover how credibility theory helps actuaries use historical data to estimate risks and set insurance premiums; learn how the Bayesian and Buhlmann methods relate.

Objective: To identify clinical variables causally associated with hair cortisol concentration (HCC) in dogs with obesity using a Bayesian analysis. Study design: A retrospective analysis of clinical ...

This study proposes an important new approach to analyzing cell-count data, which are often undersampled and cannot be accurately assessed using traditional statistical methods. The case studies ...

Abstract: This work introduces the three-parameter sine Kumaraswamy Shanker distribution (SKSD), a novel extension of the Shanker distribution that seeks to further enhance the flexibility of ...

In the predawn hours of August 19, 2024, bolts of lightning began to fork through the purple-black clouds above the Mediterranean. From the rail of a 184-foot vessel, a 22-year-old named Matthew ...

Purpose: Bayesian approaches may improve the efficiency of trials and accelerate decision-making, but reluctance to depart from traditional frequentist statistics may limit their use. Because oncology ...

The use of network meta-analysis (NMA) in sport and exercise medicine (SEM) research continues to rise as it enables the comparison of multiple interventions that may not have been assessed in a ...