Discover essential clinical data validation techniques and quality control checkpoints that safeguard research integrity. Learn how to prevent errors and ensure data accuracy

Discover essential clinical data validation techniques and quality control checkpoints that safeguard research integrity. Learn how to prevent errors and ensure data accuracy
“In data science, the only thing worse than a bad model is a model built on bad data.” This saying highlights how important outlier detection and treatment in research data are. With the 2024-2025 best practices, making sure our data is clean is key. Outliers, or data points that stand out a lot, can mess up our results and lead us to wrong conclusions. Now,…