Hi,
can you explain how JMP handles Group homogeneity tests (Logrank, Wilcoxon, Peto-Peto) with different type of event censoring? Are there any differences in methods used by JMP to calculate those tests under different event censoring?
I made a 2 populations comparisons in JMP platform Life Distribution - Compare Groups, using same dataset, but with different event censoring definition. For uncensored events, p-value for tests was around 10%, whereas for interval censored events tests' p-value dropped to 1%, which changes the analysis conclusion.
Below are JMP results:
Events Interval Censoring
Uncensored events
Additional question: For uncensored event case, sometimes in statistics summary table an unnamed column is added with term "Biased" in it. What does it mean in this context? I couldn't find any information on this in JMP documentation.
Thank you for your help.
