Abstract

The need to use more reproducible techniques in health economics and outcomes research (HEOR) is growing rapidly as analyses of real-world data become more frequent, involve larger datasets and employ more complex computations. Guiding principles for reproducible code are 1) write with an audience in mind, 2) do not repeat yourself, and 3) write code that is modular and reusable.