statistical-programming

2026 R/Pharma workshop: Hands-On AI Skills for Clinical Programming & Biostatistics

Probability of Detection version 4.5 (PODv4.5) repository

Automated generation of CDISC SDTM mapping specifications from REDCap field annotations, including CRF variable mapping, codelist management, REDCap choice alternatives, and similarity-based mapping between SDTM Submission Values and REDCap terms.

Clinical SAS programming portfolio using CDISC Pilot data: SDTM, ADaM-style datasets, TFLs, and QC validation.

This contains an python automation program that automatically downloads all the links of the pdf of EVSU 2021-2022 first year qualifiers. This program also extracts the tables inside the pdf files and converts them to csv files. Lastly, this program get statistics on the number of passes for each course, campus or both.

Resources for reproducible research.

Use R to get R — translate SAS to R with a coordinated multi-agent workflow, built for clinical programming

End-to-end clinical trial programming (raw → SDTM → ADaM → TLF) on CDISC Pilot data, dual-implemented in SAS and R. For learning/portfolio purposes only; not related to any regulatory submission.

Create chatbots with Rasa and Python. Rasa is a framework for developing AI powered, industrial grade chatbots.

临床统计程序员的 Python 进阶路线图：18 章教程 + 7 个可运行案例，基于 CDISC 公开真实数据（SDTM/ADaM），从语法速通到 AI Agent 开发

Transparent R and Quarto demonstration of traceable clinical data derivations, validation, and reporting

Lightweight execution logging for Python statistical programming.

SAS DATA step programming project showcasing arrays, iterative loops, temporary arrays, cumulative calculations, and data manipulation techniques commonly used in statistical and Clinical SAS programming.

SAS Advanced tips and techniques within the DATA step, Macros, and procedures to manipulate data

This is an archive for coursework accumulated while taking a course in computation and optimization for statistics and statistical modeling

Applied Data Science methodologies, statistical research methods, and statistical programming in Python. Cleaned and prepared data, explored and visualized data, utilized machine learning models and improved model performance.

CDISC SDTM DM domain creation project using SAS. Includes raw-to-SDTM mapping, variable derivations, ISO 8601 date conversion, and validation checks for clinical trial demographics data.

This repository comprises the solutions to various problems on R Fundamentals.

从 SAS 到 R 的临床数据分析与制药实践 - 9 章交互式教程 + 6 个基于公开数据的实战案例（CDISC、生存分析、TLF、Shiny）