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Introduction to the Analysis of Censored Data

Michael Crotty, JMP Senior Statistical Writer, SAS

There are many times when an exact measurement is not possible, but a range of values for the measurement is available. Censored data analysis methods enable you to incorporate the information from both types of measurements. This presentation provides an introduction to censored data situations: when they appear, how to handle them, and what happens when you do not handle them appropriately. This presentation includes examples of censoring in univariate and regression settings by using the Life Distribution and Generalized Regression platforms in JMP and JMP Pro 13.

 

Comments
Bob

Very interesting video- thanks. 
What should I pay attention to when using "customize design" for censored data in JMP, and what is the difference between custom design for continuous data? Will the sample size of the experimental design change?