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 ...

Longitudinal data analysis is an essential statistical approach for studying phenomena observed repeatedly over time, allowing researchers to explore both within-subject and between-subject variations ...

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 ...

Bayesian networks, also known as Bayes nets, belief networks, or decision networks, are a powerful tool for understanding and reasoning about complex systems under uncertainty. They are essentially ...

Learn to apply Bayes' theorem in financial forecasting for insightful, updated predictions. Enhance decision-making with effectively modeled probabilities.

We consider the usual proportional hazards model in the case where the baseline hazard, the covariate link, and the covariate coefficients are all unknown. Both the baseline hazard and the covariate ...

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 ...

(UPDATED) A statistical deep dive into the EXCEL trial, one that also includes evidence from other revascularization studies in the setting of left main coronary artery disease, shows that there is ...

Dissociation of Heavy QuarkoniumUnder the guidance of Professor Kai Zhou, the research team conducted an in-depth exploration of the thermodynamic ...

Dilaton (EMD) holographic QCD model combined with Bayesian analysis to conduct a detailed investigation into the ...