JD Supra

FDA Issues Guidance on Modernizing Statistical Methods for Clinical Trials

In a new draft guidance issued on January 14, 2026, the FDA discussed the use of a modern statistical methodology in clinical trials designed to ...

BioStem Technologies, Inc.: BioStem Technologies Highlights Alignment with FDA's Openness to Bayesian Statistical Approaches in Clinical Research

BioStem Technologies, Inc. (OTC: BSEM), a leading MedTech company focused on the development, manufacturing, and commercialization of perinatal ...

BioStem Technologies Highlights Alignment with FDA’s Openness to Bayesian Statistical Approaches in Clinical Research

BioStem remains committed to advancing evidence-based innovation in wound care through rigorous clinical research and real-world data analysis, supported by its proprietary BioRetain ® process and ...
IEEE

Bayesian Inference and Hypothesis Driven Methods for Neuroimaging and Biomedical Data Analysis

Abstract: This paper describes a novel brain and cellular data analysis. Bayesian reasoning and hierarchical models provide important information. Bayesian principles continually anticipate model ...
The BMJ

FDA is now “open to bayesian statistics”: transformational change or new Pandora’s box?

The US Food and Drug Administration (FDA) is now “open to bayesian statistics,” contrasting this with the frequentist approach that the agency and the drug industry have historically relied on for ...
Morningstar

Professor Sarfaraz Niazi's Scientific Framework Adopted as FDA Modernizes Clinical Trial Evaluation Through Bayesian Methods

WASHINGTON, Jan. 20, 2026 /PRNewswire/ -- The U.S. Food and Drug Administration (FDA) has issued new draft guidance modernizing statistical methodologies used in clinical trials, formally recognizing ...
Frontiers

Effectiveness and safety of four drainage methods for lung abscess: a Bayesian network meta-analysis and systematic review

1 Liaoning University of Traditional Chinese Medicine, Shenyang, Liaoning, China 2 The Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang, Liaoning, China Objective: ...
eLife

Hierarchical Bayesian modeling of multiregion brain cell count data

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 ...
eLife

Bayesian meta-analysis reveals the mechanistic role of slow oscillation-spindle coupling in sleep-dependent memory consolidation

This important study presents a meta-analysis confirming a statistically significant association between slow oscillation-spindle coupling and memory formation, although the reported effects are ...
IEEE

Bayesian Reliability Analysis of a Sine Model Under Hybrid Censoring

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 ...
SciELO

AN EFFICIENT COUNT DATA MODEL: PROPERTIES, ACTUARIAL MEASURES, BAYESIAN ESTIMATION, REGRESSION MODEL, AND APPLICATIONS TO HEALTH CARE DATA

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 ...