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Mahmoud ★ Jordan, 2023-03-11 13:21 (14 d 04:02 ago) Posting: # 23493 Views: 462 |
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Dear All In bioequivalence 2x2 (TR,TR) 3x3 ( TRR,RRT,RTR) and 2x4(TRTR,RTRT) for the statistical anaylsis based code SAS PROC MIXED; CLASSES SEQ SUBJ PER TRT; 1077 MODEL Y = SEQ PER TRT/ DDFM=SATTERTH; 1078 RANDOM TRT/TYPE=FA0(2) SUB=SUBJ G; 1079 REPEATED/GRP=TRT SUB=SUBJ; 1080 ESTIMATE 'T vs. R' TRT 1 -1/CL ALPHA=0.1; run; By simulation study I found that MLE method better when number of fixed effects ≤ 4. REML method better when number of fixed effects > 4. Edit: Category and subject line changed; see also this post #1. [Helmut] |
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PharmCat ★ Russia, 2023-03-14 21:44 (10 d 19:40 ago) @ Mahmoud Posting: # 23501 Views: 320 |
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❝ MLE method better when number of fixed effects ≤ 4. ❝ REML method better when number of fixed effects > 4. Hi! Always use REML. Use ML only if you know exactly why. |
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Mahmoud ★ Jordan, 2023-03-15 09:35 (10 d 07:48 ago) @ PharmCat Posting: # 23503 Views: 315 |
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❝ ❝ MLE method better when number of fixed effects ≤ 4. ❝ ❝ REML method better when number of fixed effects > 4. ❝ ❝ Hi! Always use REML. Use ML only if you know exactly why. The greater the number of fixed effects, the greater the difference between REML and ML. |
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PharmCat ★ Russia, 2023-03-17 00:51 (8 d 16:32 ago) @ Mahmoud Posting: # 23505 Views: 262 |
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❝ The greater the number of fixed effects, the greater the difference between REML and ML. REML is an approach that produces unbiased estimators for some special cases and produces less biased estimates than ML in general. Some people say that REML is unbiased. It is like denominators N and N-1 for variance if you have data from all general population - you can use ML, when you have a small part of population - you should use REML. If you have many independent observations (over 200 for example) then estimates will be nearly same. Some info. |
Ing. Helmut Schütz