Hi All,
Apologies for multiple postings but I forgot to share my full SPSS output for the linear mixed model that I executed and imputed dataset. Kindly find both of them in the attachment. The SPSS syntax that I use is as follows:
SET SUMMARY=None TOLERANCE=1 CELLSBREAK=10000 TABLERENDER=light ROWSBREAK=100 TLook=None TFit=Both.
DATASET ACTIVATE LMMM1.
MIXED VAS_Actual_by_Period BY Gender TreatmentbyPeriod Period Seq ID WITH VAS_Baseline_by_Period Age
/CRITERIA=CIN(95) MXITER(100) MXSTEP(10) SCORING(1) SINGULAR(0.000000000001) HCONVERGE(0,
ABSOLUTE) LCONVERGE(0, ABSOLUTE) PCONVERGE(0.000001, ABSOLUTE)
/FIXED=Age VAS_Baseline_by_Period Period TreatmentbyPeriod Gender | SSTYPE(3)
/METHOD=REML
/PRINT=CPS DESCRIPTIVES G SOLUTION TESTCOV
/RANDOM=ID(Seq) | COVTYPE(VC)
/SAVE=PRED RESID
/EMMEANS=TABLES(TreatmentbyPeriod) COMPARE ADJ(BONFERRONI)
Is there a way to obtain the pooled estimates for pairwise comparisons (estimated marginal means) for linear mixed model? So far I could not find a workround for this issue in SPSS. I have tried SPSS 23, 25 and 26 but I still could not solve the problems. All pointers are greatly and humbly appreciated. Many thanks.
Kind regards
Jagjeet
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Jagjeet Singh Hullon Data Scientist
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#SPSSStatistics