himelmallick / Bayes_Review_ASA_BIOP

This repository houses all the analysis codes described in the Bayesian nonclinical review paper published in Communications in Statistics – Case Studies and Data Analysis.

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Analysis codes from the Bayesian Nonclinical Biostatistics review paper

This repository houses the analysis codes described in the Bayesian Nonclinical Biostatistics review paper led by the Bayesian work stream of the Nonclinical Biostatistics Working Group (NCBWG) of the ASA Biopharmaceutical Section.

Four pharmaceutical/biotechnology companies (Eli Lilly, Merck, AstraZeneca, Biogen) came together to draft this collaborative review article. Each company focused on a specific Bayesian topic with applications in biomarker discovery and early clinical development.

High-level folder description

  • Bayesian_Clustering: Analysis codes related to the Bayesian clustering applications led by Eli Lilly and Company
  • BART: Analysis codes related to the Bayesian Additive Regression Trees (BART) applications led by Merck & Co., Inc.
  • Bayesian_Neural_Network: Analysis codes related to the Bayesian neural network applications led by AstraZeneca plc
  • Empirical_Bayes: Analysis codes related to the empirical Bayes applications led by Biogen Inc.

Citation

Paul E et al. (2023+). A Survey of Bayesian Statistical Methods in Biomarker Discovery and Early Clinical Development. Communications in Statistics – Case Studies and Data Analysis, In Press.

About

This repository houses all the analysis codes described in the Bayesian nonclinical review paper published in Communications in Statistics – Case Studies and Data Analysis.

License:MIT License


Languages

Language:HTML 91.9%Language:Python 7.1%Language:R 1.0%