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 ...
Bayesian thinking helps you make better decisions by updating your beliefs when new evidence appears. Even in games of chance like scratch-off lotteries, paying attention to information can improve ...
Mental health is not to be reduced to simple discrete classifications, but that's what AI is doing to us. AI can be ...
Discover how credibility theory helps actuaries use historical data to estimate risks and set insurance premiums; learn how ...
In this tutorial, we explore hierarchical Bayesian regression with NumPyro and walk through the entire workflow in a structured manner. We start by generating synthetic data, then we define a ...
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 ...
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 ...
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