BookmarkSubscribeRSS Feed
swannie
Obsidian | Level 7

 

 

 

Hi,

I need some help figuring out how to use the loss=exp(hazard=hazard rate) option in proc seqdesign correctly.  If the trial is expected to have 10% drop out total, but most is early (within 4 months of randomization), what's the proper (or best) way to calculate the hazard rate?  Any help vastly appreciated.

 

swannie

 

%let drop_out=0.0027;

ods graphics on;

proc seqdesign plots=boundary(hscale=samplesize) boundaryscale=stdz errspend ;

OneSidedOBrienFleming: design nstages=2 method=errfuncobf alpha=0.02 alt=upper beta=0.10 info=cum(0.50 1) stop=both(betaboundary=nonbinding);

samplesize model(ceiladjdesign=include)=twosamplesurvival (nullhazard=0.0608 hazard=0.0385 weight= 1 1 accrual=uniform acctime=&rectime. loss=exp(hazard=&droprate.) totaltime=&total_time. ceiling=n);

run;

ods graphics off;

 

1 REPLY 1
windfor
Calcite | Level 5

The dropout rate were also converted to group loss hazards in the same way. Therefore, the 5% dropout rate for 70 months duration was corresponding to the group loss hazard of -ln(1-dropout rate)/StudyDuration =-ln(1-0.05)/70= 0.00073.

sas-innovate-white.png

Our biggest data and AI event of the year.

Don’t miss the livestream kicking off May 7. It’s free. It’s easy. And it’s the best seat in the house.

Join us virtually with our complimentary SAS Innovate Digital Pass. Watch live or on-demand in multiple languages, with translations available to help you get the most out of every session.

 

Register now!

What is ANOVA?

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.

Discussion stats
  • 1 reply
  • 2286 views
  • 0 likes
  • 2 in conversation