BookmarkSubscribeRSS Feed
🔒 This topic is solved and locked. Need further help from the community? Please sign in and ask a new question.
ProfBev
Calcite | Level 5

Can someone tell me where the beta values in the "parms" line of the SAS routine at the top of page 5168 come from?  Are they estimates to start the iteration?

 

Here's the code from the SAS manual:

 

proc nlin data=theop; parms beta1=-3.22 beta2=0.47 beta3=-2.45; cl = exp(beta1); ka = exp(beta2); ke = exp(beta3); mean = dose*ke*ka*(exp(-ke*time)-exp(-ka*time))/cl/(ka-ke); model conc = mean; ods output Anova=aovred(rename=(ss=ssred ms=msred df=dfred)); run;

1 ACCEPTED SOLUTION

Accepted Solutions
Rick_SAS
SAS Super FREQ

They are the initial guesses used to start the optimization process. See the article "How to find an initial guess for an optimization."

Also, see the article "Fit a growth curve in SAS" and "Reduced models: A way to choose initial parameters" for a discussion.in the regression context.

View solution in original post

1 REPLY 1
Rick_SAS
SAS Super FREQ

They are the initial guesses used to start the optimization process. See the article "How to find an initial guess for an optimization."

Also, see the article "Fit a growth curve in SAS" and "Reduced models: A way to choose initial parameters" for a discussion.in the regression context.

SAS Innovate 2025: Save the Date

 SAS Innovate 2025 is scheduled for May 6-9 in Orlando, FL. Sign up to be first to learn about the agenda and registration!

Save the date!

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.

SAS Training: Just a Click Away

 Ready to level-up your skills? Choose your own adventure.

Browse our catalog!

Discussion stats
  • 1 reply
  • 529 views
  • 2 likes
  • 2 in conversation