FDA proposes framework clinical trial designs to guide Bayesian methods, improving efficiency in drug development for rare and pediatric conditions.
Journal of Business & Economic Statistics, Vol. 34, No. 4, Special Issue on Big Data (October 2016), pp. 661-672 (12 pages) Randomized controlled trials play an important role in how Internet ...
Bayesian analysis offers a robust framework for deciphering the intricate dynamics of time series data. By treating unknown parameters as random variables, this approach incorporates prior information ...
Journal of the Royal Statistical Society. Series A (Statistics in Society), Vol. 180, No. 4 (OCTOBER 2017), pp. 1191-1209 (19 pages) Area level models, such as the Fay–Herriot model, aim to improve ...
Discover how credibility theory helps actuaries use historical data to estimate risks and set insurance premiums; learn how ...
We review Bayesian and Bayesian decision theoretic approaches to subgroup analysis and applications to subgroup-based adaptive clinical trial designs. Subgroup analysis refers to inference about ...
Warning – this article contains mathematical concepts and theories! When the Calgary Flames took Sam Bennett fourth overall in the 2014 draft, he was the highest draft choice ever made by the ...
US FDA issues guidance on modernizing statistical methods for clinical trials: Maryland Wednesday, January 14, 2026, 09:00 Hrs [IST] The US Food and Drug Administration today publ ...
Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...
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