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Your Data Is Censored, Now What?

Author

José Ramírez, PhD, Global Quality Engineering, Amgen

When we measure a quantity – say, a concentration – the result is usually a single number like 0.25 mg/mL. Other times, however, we only know that our measurement is below or above a limit, or that it falls in a given interval. We call this type of data censored because we do not know its actual value. In this presentation we will discuss the different types of censoring and give examples of how they arise. We will demonstrate how to perform distribution analyses for censored data using the Life Distribution platform, drawing analogies to the Distribution platform, and will show how to calculate lower- and upper-tolerance bounds using distribution percentiles.

Discovery Summit 2014 Resources

Discovery Summit 2014 is over, but it's not too late to participate in the conversation!

Below, you'll find papers, posters and selected video clips from Discovery Summit 2014.