Pillars of Trustworthy Data and Statistical Analysis

A robust data and statistical analysis should be designed so that an independent expert — or your future self — can understand the data, methodology, and conclusions within a reasonable timeframe. Ideally, the entire lifecycle of the analysis — spanning its development, data processing, and final output — remains fully documented, trackable, and reproducible. This leads to the following core principles: