Ah, apologies, here you go:
GENLINMIXED
/DATA_STRUCTURE SUBJECTS=Local_Authority
/FIELDS TARGET=Date_of_first_consultation_recorded TRIALS=NONE OFFSET=NONE
/TARGET_OPTIONS DISTRIBUTION=BINOMIAL LINK=LOGIT
/FIXED EFFECTS=IMD_Quintile Age_at_ref2 Gender2 Pathways_5 Cohort_two_groups ref_recode2 USE_INTERCEPT=TRUE
/RANDOM EFFECTS=IMD_Quintile Age_at_ref2 Gender2 Pathways_5 Cohort_two_groups ref_recode2 USE_INTERCEPT=TRUE
SUBJECTS=Local_Authority COVARIANCE_TYPE=VARIANCE_COMPONENTS SOLUTION=FALSE
/BUILD_OPTIONS TARGET_CATEGORY_ORDER=DESCENDING INPUTS_CATEGORY_ORDER=DESCENDING
MAX_ITERATIONS=100 CONFIDENCE_LEVEL=95 DF_METHOD=RESIDUAL COVB=MODEL PCONVERGE=0.000001(ABSOLUTE)
SCORING=0 SINGULAR=0.000000000001
/EMMEANS_OPTIONS SCALE=ORIGINAL PADJUST=LSD.
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Katie Newby
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Original Message:
Sent: Thu September 07, 2023 09:03 AM
From: Jon Peck
Subject: Output in V29 for multi-level model
But which procedure did you use? What is the command? You could just post the syntax.
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Original Message:
Sent: 9/7/2023 4:09:00 AM
From: Katie Newby
Subject: RE: Output in V29 for multi-level model
Hi Jon, its a binary logistic regression. If you could help that would be great!
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Katie Newby
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Original Message:
Sent: Wed September 06, 2023 06:18 PM
From: Jon Peck
Subject: Output in V29 for multi-level model
Which procedure are you running?
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