[HTML][HTML] Using Bayesian statistics in confirmatory clinical trials in the regulatory setting: a tutorial review

SY Lee - BMC Medical Research Methodology, 2024 - Springer
Bayesian statistics plays a pivotal role in advancing medical science by enabling healthcare
companies, regulators, and stakeholders to assess the safety and efficacy of new treatments …

The importance of synthetic pharmacotherapy for recessive cerebellar ataxias

M Beaudin, N Dupre, M Manto - Expert Review of …, 2024 - Taylor & Francis
Introduction The last decade has witnessed major breakthroughs in identifying novel genetic
causes of hereditary ataxias, deepening our understanding of disease mechanisms, and …

AI-Driven Physical Rehabilitation Strategies in Post-Cancer Care

F Al-Akayleh, M Al-Remawi… - 2024 2nd International …, 2024 - ieeexplore.ieee.org
Artificial intelligence (AI) has made significant progress in addressing the specific obstacles
related to post-cancer physical rehabilitation. This article examines AI technologies such as …

[HTML][HTML] Harnessing Big Data in Amyotrophic Lateral Sclerosis: Machine Learning Applications for Clinical Practice and Pharmaceutical Trials

EL Tan, J Lope, P Bede - Journal of Integrative Neuroscience, 2024 - imrpress.com
The arrival of genotype-specific therapies in amyotrophic lateral sclerosis (ALS) signals the
dawn of precision medicine in motor neuron diseases (MNDs). After decades of academic …

Multicenter expanded access program for access to investigational products for amyotrophic lateral sclerosis

DV Neel, C Baselga‐Garriga, M Benson… - Muscle & …, 2024 - Wiley Online Library
Abstract Introduction/Aims Expanded access (EA) is a Food and Drug Administration‐
regulated pathway to provide access to investigational products (IPs) to individuals with …

Novel non‐linear models for clinical trial analysis with longitudinal data: A tutorial using SAS for both frequentist and Bayesian methods

G Wang, W Wang, B Mangal, Y Liao… - Statistics in …, 2024 - Wiley Online Library
Longitudinal data from clinical trials are commonly analyzed using mixed models for
repeated measures (MMRM) when the time variable is categorical or linear mixed‐effects …

Using Bayesian Statistics in Confirmatory Clinical Trials in the Regulatory Setting

SY Lee - arXiv preprint arXiv:2311.16506, 2023 - arxiv.org
Bayesian statistics plays a pivotal role in advancing medical science by enabling healthcare
companies, regulators, and stakeholders to assess the safety and efficacy of new treatments …