Скачать или смотреть Easily Perform Competing Risks Survival Analysis with SAS Studio Tasks

Brian Gaines demonstrates how to use SAS Studio tasks to perform competing risks survival analysis. There are two main techniques for modeling competing risks data - the cause-specific hazard function and the Fine and Gray method. Both approaches should be viewed as being complementary and their use depends on your goals of the analysis. Inside SAS Studio there is a Survival Analysis task category, this contains the Proportional Hazards Regression task. This can be used to quickly and easily develop code for a competing risks survival analysis.

Access the Data
The data set used is from "Cause-Specific Analysis of Competing Risks Using the PHREG Procedure” by Changbin Guo and Ying So from SAS Global Forum 2018 and may be found at this link: https://support.sas.com/resources/pap...

NOTE: Page 3 contains the DATA step code that creates the data set used in the demo, except the demo uses the name BMT_CR to avoid confusion with the SASHELP.BMT data set.

Content Outline
0:00 – Competing-risk analysis is a special kind of survival analysis
Traditional time-to-event data analysis
Competing risk data analysis
1:12 – There are two main approaches to competing-risk regression
Cause-specific hazard
Fine & Gray (subdistribution hazards)
2:03 – Example: Model disease-free survival in leukemia patients after a bone marrow transplant (BMT)
2:46 – Demo for BMT example

Related Resources
◉ SAS Studio Support – https://support.sas.com/en/software/s...
◉ SAS Studio 3.8: Task Reference Guide – https://go.documentation.sas.com/?act...

Learn More about SAS Software
◉ Advanced Analytics from SAS – https://www.sas.com/en_us/solutions/a...


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