BookmarkSubscribeRSS Feed
Miracle
Barite | Level 11

Dear All, 

Can I please seek your help on how do we get cumulative mortality rate?

Thanks in advance. 

5 REPLIES 5
Reeza
Super User
Depends on the data.
ballardw
Super User

Cumulative over what? Time periods? Geography? Demographic groups? Cause of mortality?

 

Lots of ways to deal with cumulative anything and very data content dependent.

Miracle
Barite | Level 11

Hi @Reeza and @ballardw.

Thank you for your response. 

Let say 12-month cumulative probabilities of in-hospital mortality ( %) by gender. 

How can this be obtained in SAS please? 

Thanks a lot. 

ballardw
Super User

@Miracle wrote:

Hi @Reeza and @ballardw.

Thank you for your response. 

Let say 12-month cumulative probabilities of in-hospital mortality ( %) by gender. 

How can this be obtained in SAS please? 

Thanks a lot. 


You really need to provide some form of data and what the result for that example would look like.

The data can be fake but should be enough to exercise any grouping or rules.

Reeza
Super User
Divide the counts by your totals and use SGPLOT to graph it.
Sometimes you can cheat by using PROC UNIVARIATE and the cumulative distribution plots.

sas-innovate-2024.png

 

Secure your spot at the must-attend AI and analytics event of 2024: SAS Innovate 2024! Get ready for a jam-packed agenda featuring workshops, super demos, breakout sessions, roundtables, inspiring keynotes and incredible networking events.

 

Register by March 1 to snag the Early Bird rate of just $695! Don't miss out on this exclusive offer. 

 

Register now!

What is Bayesian Analysis?

Learn the difference between classical and Bayesian statistical approaches and see a few PROC examples to perform Bayesian analysis in this video.

Find more tutorials on the SAS Users YouTube channel.

Click image to register for webinarClick image to register for webinar

Classroom Training Available!

Select SAS Training centers are offering in-person courses. View upcoming courses for:

View all other training opportunities.

Discussion stats
  • 5 replies
  • 595 views
  • 2 likes
  • 3 in conversation