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3 votes
0 answers
174 views

Difference in SAS PROC MIXED between DF when using type VC vs FA0(1) for one random effect model

I don't understand why the degrees of freedom (DF) are different between TYPE=VC and ...
Davor Josipovic's user avatar
13 votes
2 answers
490 views

Beyond AR(1) as a covariance structure for mixed models with repeated measures

I have been reading about alternatives to assuming an AR(1) covariance structure for mixed models with repeated measures (in time). In particular I have heard about Toeplitz and Ante-dependence ...
Harmony's user avatar
  • 304
4 votes
1 answer
170 views

Doubts about mixed model (R vs SAS) with nested random effects [closed]

I use SAS to fit a simple mixed model where there is nested random effects of Block within Location like this: ...
user1029384756's user avatar
2 votes
0 answers
40 views

How to solve MME [closed]

I have spent an entire day trying to figure out how to solve these mixed model equations without any luck. I am therefore reaching out to this community. The assignment is as follows: Using the ...
Therese's user avatar
  • 21
6 votes
1 answer
135 views

Understanding SAS Mixed Model Syntax

I'm used to specifying mixed models with mathematical notation or in R using the lme4 syntax. Now, I was asked to review a mixed model fitted in SAS. The SAS model ...
retodomax's user avatar
  • 683
0 votes
0 answers
19 views

Analyzing discrete Proportional Data with different sample sizes in GLMM?

I am reaching out to seek guidance regarding an issue that has been troubling me for a while. In my study, I had participants choose a strategy for expressing 6 different emotions across * 5 social ...
MyL's user avatar
  • 1
5 votes
1 answer
229 views

SAS Proc Mixed Repeated VS Random (or Both)?

I have data from a study for a "device". Subjects receive an implant and are followed for 5 years, with a checkup every year. A "disability score" is calculated from a survey every ...
SASsy pants's user avatar
0 votes
1 answer
1k views

Mixed model for repeated measures with different timepoints and intervals

is there a way to design a mixed model for uneven number of measurements per subject and (more importantly) with uneven time intervals between measurements which are taken at different time points (...
opiczak's user avatar
  • 23
1 vote
0 answers
62 views

converting proc mixed to R [closed]

I have been trying to convert some PROC MIXED SAS code into R, but without success. The code is: ...
user20780's user avatar
  • 171
2 votes
0 answers
56 views

Linear mixed model with repeated measures at two timescales

I want to use a Linear Mixed Model on the following design: 20 subjects with one between-subjects factor (10 males, 10 females). Each subject is measured at 4 timepoints: At 0 weeks, 2 weeks, 4 ...
Robert Rovetti's user avatar
1 vote
0 answers
32 views

Do you still need to include "site" as a random effect when modeling matched data set?

I am working on a multicenter propensity matched cohort study. The primary outcome is binary while the secondary outcome is continuous. First I performed multiple imputation to address the missing ...
Ese's user avatar
  • 15
1 vote
1 answer
156 views

Mixed model without fixed intercept- Numerator df for Type II and III ANOVA (lmerTest vs Proc Mixed)

It comes to my attention that there is a discrepancy between lmerTest and Proc Mixed for the numerator degrees of freedom (df) for type II and III ANOVA. This only occurs for mixed model without fixed ...
one's user avatar
  • 270
2 votes
0 answers
368 views

Reconciling differences in CI calculated between SAS and R on same dataset

I have been given a brief of replicating statistical analysis which was done previously to verify results. Data being collected are body weights of male and female mice over 20 weeks, given a ...
Rover Eye's user avatar
  • 587
1 vote
0 answers
240 views

lmer (R) and proc mixed (SAS)

Recently I have been working on replicating the results from package lmer in R to proc mixed in SAS for mixed modeling. There are multiple model structures that you ...
RinKaShiKiMo's user avatar
3 votes
1 answer
328 views

glmer (R) versus SAS output random effects

I have a binomial glmm model which I have analysed in both SAS and R. However, I have noticed a difference in the statistics which are given for the random effect. In SAS, there is a table called '...
becbot's user avatar
  • 111

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