MCP Server: retreiving clinical study data standard contents from CDISC Library.

An EDC and Data Standard agnostic SDTM data transformation engine that automates the transformation of raw clinical data in ODM format to SDTM based on standard mapping algorithms

Added SAS macro for fetching CDISC codelists

Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning

List of Open-Source in New Drug Applications NDAs FDA

Good Statistical Monitoring R Package

Hands-on-Workshop: Share your code with SAS Packages

Python client for accessing the CDISC library. Deployed to PYPI

Mastering Shiny: a book

Dataset-JSON tabular data exchange standard

Demo the app here: https://bit.ly/tidyCDISC_app

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

Notebooks and code for the book "Introduction to Machine Learning with Python"

pix2tex: Using a ViT to convert images of equations into LaTeX code.

A Python interface module to the SAS System. It works with Linux, Windows, and Mainframe SAS as well as with SAS in Viya.

A demo project to define eCTD submission folder structure

Code repository for O'Reilly book

Repository contains R and Rmd files for the 2nd edition of Machine Learning for Business Analytics

Utility functions for "Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python"

Read and write CDISC Dataset JSON files

Dataset-JSON SAS Implementation

SAS scripts for clinical trials applications including generating SDTM domains, ADaM datasets, and Define.xml files

R programs for biostatistics models and TLF

SAS scripts for various biostatistics applications. A complete pipeline for analyzing microarray data using linear models is included.

SAS batch run and logs check