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jag009 ★★★ NJ, 2013-02-18 19:14 (4864 d 05:08 ago) (edited on 2013-02-18 22:35) Posting: # 10051 Views: 5,718 |
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Hi biostat experts, Is there a significant difference between using PROC GLM or PROC MIXED for 3-way (2T vs R), 4-way (3T vs R) and 5-way crossover studies (4T vs R) when 1) all subjects completed the study, 2) not all subjects completed all treatment arms in a study. Would there be an issue if I elect to go PROC GLM all the way? My feeling is to go with PROC MIXED for >2 treatments since the chance of unbalanced could happen due to subject dropouts (correct me if I am wrong). Update: I did a comparison in SAS with PROC GLM and PROC MIXED using n=24 unbalanced 4-way study data (3T vs R) with some subjects missing from certain treatments. I just ran Ln(Cmax). PROC GLM (Ratios; 90%CI) T1 vs R: 1.0089; 0.9035-1.1264 T2 vs R: 0.9584; 0.8580-1.0203 T3 vs R: 0.8701; 0.7788-0.9713 PROC MIXED (Ratios; 90%CI) T1 vs R: 1.0094; 0.9030-1.1273 T2 vs R: 0.9646; 0.8606-1.0812 T3 vs R: 0.8710; 0.7798-0.9728 Thanks John |
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Helmut ★★★ ![]() Vienna, Austria, 2013-02-19 17:07 (4863 d 07:15 ago) @ jag009 Posting: # 10060 Views: 4,736 |
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Hi John, My knowledge of SAS is limited. I expect PROC GLM to drop all incomplete sequences whereas PROC MIXED keeps them. Have a look at your example; I guess the mixed model has more degrees of freedom. — Dif-tor heh smusma 🖖🏼 Довге життя Україна! ![]() Helmut Schütz ![]() The quality of responses received is directly proportional to the quality of the question asked. 🚮 Science Quotes |
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jag009 ★★★ NJ, 2013-02-19 21:22 (4863 d 03:00 ago) @ Helmut Posting: # 10065 Views: 4,626 |
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Hi Helmut, Yes that's correct. GLM drops them whereas MIXED keeps them. John |

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