Traditional supervised learning algorithms do not satisfactorily solve the classification problem on imbalanced data sets, since they tend to assign the majority class, to the detriment of the ...

New FDA guidance on the use of Bayesian statistics signals a broader shift in accommodating more flexible clinical trial ...

Bayesian statistics is an approach to data analysis based on Bayes’ theorem, where available knowledge about parameters in a statistical model is updated with the information in observed data. The ...

Articulate the primary interpretations of probability theory and the role these interpretations play in Bayesian inference Use Bayesian inference to solve real-world statistics and data science ...

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

The FDA's move to incorporate Bayesian statistical methods into clinical trials of drugs and biologics garnered special treatment in JAMA this week. JAMA published three perspectives -- two welcoming ...

Bayesian trials formally integrate prior evidence with accruing data to yield posterior probabilities, supporting interim learning, adaptive modifications, and direct predictive futility/efficacy ...

Welcome to another installment of This Week at FDA, your weekly source for updates – big and small – on FDA, drug, and medical device regulation and what we’re reading from around the web. This week, ...

The main focus of this short course will be the Bayesian aspect of it. That means this is a slightly more advanced course requiring some knowledge of basic probability, regression methods, and the R ...

Industry groups and drugmakers want the US Food and Drug Administration (FDA) to explicitly clarify that Bayesian statistical methods can be used for products beyond those intended for children and ...