Skip to main content

New, free course on capturing the value of V1C for healthcare!

Join FDA and DiMe during a 2-day virtual event.

DiMe Glossary

Data cleaning

Application of processes including filling in the missing values, smoothing noisy data, analyzing and removing outliers, and removing inconsistencies in the data to clean datasets for analysis and application

Want to learn more terms?

Join our next project

Help streamline the path to regulatory and commercial success to optimize health outcomes for the greatest number of patients

Join the Integrated Evidence Plans project

Join us
Not today