Hi All!
I'm conducting a survival analysis and I would like to test if there were differences in freedom from events at different time points (e.g. 1 yr - 2 yr and so on) between groups.
Can anybody give me some hints?
Tks in advance
Antonio
The purpose of the survival analysis is to account for censoring and to use all available data. I suggest reporting the log-rank p-value for the KM curve. Then, the plot can include 95% confidence bands. If you're interested in reporting, say, the 1- and 2-year marks, then you can report the survival probabilities with 95% confidence intervals by group and time point. I don't think that it's advantageous or useful to do a formal hypothesis test at those time points.
Maybe you should consider using cox-proportion model.
Build your skills. Make connections. Enjoy creative freedom. Maybe change the world. Registration is now open through August 30th. Visit the SAS Hackathon homepage.
Register today!ANOVA, or Analysis Of Variance, is used to compare the averages or means of two or more populations to better understand how they differ. Watch this tutorial for more.
Find more tutorials on the SAS Users YouTube channel.