FDA loves replicate bears? [🇷 for BE/BA]
Dear D. Labes,
Thank you for your message. I find that currently bear's model dealing with replicate ABE data is equivalent to SAS Proc MIXED as the follows:
(Ref.: Jones, B and Kenward MG. Design and Analysis of Cross-Over Trials, 2nd ed., Chapman & Hall/CRC, 2003). If using TYPE setting, either FA0(2) or CSH as recommended by FDA, we will not get the exactly same 90%CIs from running bear using lme(). I guess we need to find out how to comply with here.
Thank you for your message. I find that currently bear's model dealing with replicate ABE data is equivalent to SAS Proc MIXED as the follows:
PROC MIXED;
CLASSES SEQ SUBJ PER TRT;
MODEL Y = SEQ PER TRT/ DDFM=SATTERTH;
RANDOM SUB=SUBJ G;
REPEATED/GRP=TRT SUB=SUBJ;
ESTIMATE 'T vs. R' TRT 1 -1/CL ALPHA=0.1;
(Ref.: Jones, B and Kenward MG. Design and Analysis of Cross-Over Trials, 2nd ed., Chapman & Hall/CRC, 2003). If using TYPE setting, either FA0(2) or CSH as recommended by FDA, we will not get the exactly same 90%CIs from running bear using lme(). I guess we need to find out how to comply with here.
—
All the best,
-- Yung-jin Lee
bear v2.9.2:- created by Hsin-ya Lee & Yung-jin Lee
Kaohsiung, Taiwan https://www.pkpd168.com/bear
Download link (updated) -> here
All the best,
-- Yung-jin Lee
bear v2.9.2:- created by Hsin-ya Lee & Yung-jin Lee
Kaohsiung, Taiwan https://www.pkpd168.com/bear
Download link (updated) -> here
Complete thread:
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