Project-related source code

This page houses project-specific source code developed as part of my work in injury surveillance and epidemiological methods. The code repositories include Stan programs, data processing pipelines, and related analytic tools that support model development, reproducibility, and transparent dissemination of methods. Sharing these resources aligns with open science principles and is intended to facilitate collaboration, reuse, and extension by the broader research community.

Stan implementation of a multivariable negative binomial model for injury surveillance

I have shared the Stan program used in my recent publication on Bayesian modeling of sports injury incidence rates. The model applies a negative binomial regression with cluster-level random effects, offset by athlete-exposures, and is designed for use in injury surveillance and epidemiology research. The GitHub repository includes the full Stan code, documentation of the required data structure, licensing information, and citation details.

Chandran, A., Lambert, B. Bayesian methods for estimating injury rates in sport injury epidemiology. Inj. Epidemiol. 12, 31 (2025). https://doi.org/10.1186/s40621-025-00583-z

Accompanying Stan program, documentation, and licensing information are available on GitHub: https://github.com/avinashsatishchandran/Surveillance_inj_rate