All Questions
Tagged with multilevel-analysis glmm
32 questions
4
votes
1
answer
48
views
Multilevel Modeling in Linear Mixed Models versus Generalized Linear Mixed Models
I am analyzing a data set that includes several discrete and continuous outcome variables (DV). For the continuous DVs I intend to use Linear Mixed Models (LMM) processed in SPSS. For the discrete ...
- 135
0
votes
0
answers
30
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Is it appropriate to calculate odds ratios from random effects glmm output?
Is it appropriate to calculate odds ratios from random effects glmm output?
about the data:
grown (binary): whether flower grows over a certain height (TRUE/FALSE)...
dasyer5
2
votes
0
answers
33
views
How to fit a GLMM with multiple levels of nesting
I have some data I am struggling to process at the moment. I have landed on using generalized linear mixed models (GLMMs), but I am having a very hard time wrapping my head around it.
I have a large ...
- 21
0
votes
0
answers
49
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Interpreting results from a glmm (lmer) with multilevel and interaction fixed variables
I am running my GLMMs on R to test whether the effect of breed on the acoustic parameters of meows is dependent on sex levels (sex*breed) and to test whether the ...
- 1
3
votes
1
answer
75
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When should grouping variables interact in a mixed-effects model?
I was reading this post which is relevant to a research project I'm working on now. I think that I understand the difference between crossed and nested random effects, e.g. as described here.
The ...
- 685
8
votes
1
answer
1k
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Why do random effects require a minimum # of levels?
I have always heard random effects require a minimum number of levels to be correctly specified in a hierarchical (mixed-effects) model. I can admit to following this rule without question (mostly ...
- 2,071
1
vote
0
answers
63
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GLMM mixed models. Binary data with only one positive outcome possible
I am studying letality in cardio-vascular events. My outcome is binary (death at 1 month) for each event. My patients can have multiple cardiovascular events but obvioulsy only one of them can lead to ...
0
votes
1
answer
736
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The method for analyzing the repeated measures study when the data was non-normal distributions
When we conduct the repeated measures data (a continuous dependent variable) by using the method of repeated measures ANOVA, GEE or Multilevel models, the data was need follow normally distributed (...
0
votes
1
answer
26
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Inference for overall population parameters with multilevel models
I have a dataset that it is clearly need a multilevel model approach -observations from different regions-. However, I am not interesting in population parameters of regions, but overall parameters ...
- 125
5
votes
0
answers
250
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Calculating ICC for a beta-binomial GLMM
I understand that ICC in binomial GLMMs with a logit link can be calculated via R, where the residual deviance is (pi ^ 2) / 3. However, this is assuming that the ...
- 51
0
votes
1
answer
254
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Can I use Gls() or glmer() to predict binary outcomes with restricted cubic splines predictors?
I'm new to rms, as I read the rms book and notes, I saw that the Gls() function could be used to make a longitudinal growth ...
- 1
2
votes
0
answers
350
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GLMM model formulation with a partial "subcondition"
I am modeling reaction times in a GLMM using the lme4 package. My data have the following structure:
Subject ID
Reaction times (RT)
Distractor type (Type): (3 levels): moving - static - no distractor
...
- 61
2
votes
0
answers
2k
views
How to calculate CI for Median Odds Ratio?
According to Austin et al (2016) the median odds ratio (MOR) is defined by
$\exp(\sqrt{2\sigma^2} \times \Phi^{-1}(0.75))$
, where $\Phi^{-1}$ denotes the inverse of the standard normal cumulative ...
3
votes
1
answer
136
views
What are marginal and conditional errors in a GLMM?
I'm modifying my ecology paper according to what the reviewers suggested but I have an issue with one statistical-related question.
I ran a GLMM in lme4 on R to model the presence/absence of a certain ...
- 31
1
vote
1
answer
589
views
glmertree to fit logistic regression with two-column y
With both glm and glmer, if I wanted to fit a proportion, I could do it as
either:
...
2
votes
1
answer
858
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Is there a model that can handled unbalanced repeated measures data with 1 OR 2 follow ups?
I want to identify predictors of a binary healthcare outcome in a purely observational study, and some of my participants have 1 recorded outcome timepoint, while others have 2 recorded outcome ...
- 351
1
vote
0
answers
47
views
Leave random effects out when correlated with fixed effects?
Is it appropriate (or not) to leave a random intercept out of a model if the random intercept acts as a proxy for multiple fixed effects that are being included in the model?
I have been given data on ...
- 929
3
votes
1
answer
393
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GLMERTREE with reponse in [0, 1] and multilevel design
I have multilevel data (with nested random effects: (1 | cluster-of-cluster/cluster) in lme4 syntax) where the response is a continuous variable between $[0, 1]$ (i....
2
votes
1
answer
638
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Binomial GLMM (GLMER) with proportions in unbalanced, observational panel data: nesting issues and errors
Thanks in advance.
I am new to mixed models and having several doubts about a mixed model (lme4's glmer, binomial) with multiple levels, measuring a proportion [0,1] in three time periods.
My data ...
- 372
2
votes
1
answer
63
views
Hierachical Random Mixed effect sizes
When using a mixed effect model the rule of thumb seems to be that you need at least 5 levels to use a random factor . Is this still True when you have a hieachical model.
i.e
A - 4 level factor
B - ...
- 23
3
votes
1
answer
2k
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GLMM optimiser test - optimx.L-BFGS-B doesn't converge, but the rest do
I am running GLMM using lme4 in R for the first time. I have a complex model (with three main effects and four interactions), as well as a random intercept of ...
- 95
5
votes
1
answer
483
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How to do classification in mixed effect models in python. My data is nested into groups with binary outcome
Lets say I have 10 sellers (S1-S10). Each seller has 7 buyers which are different for each seller (B1-B7 for S1, B11-B17 for S2 and so on). Each Seller buyer combination has a product category (P1, P2....
- 51
1
vote
1
answer
57
views
Accounting for person-time exposed in a binomial GLMM
I have a large data set where we have 5 calendar years data for each person, and we have information about the number of outcomes (taking values 0,1,or 2) each year. We have to account for the ...
- 251
3
votes
1
answer
2k
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Basic multilevel modeling help in r with glmer
I am looking at school data, and wondering if school level disproportionate discipline affects the academic outcomes of students.
The data I have are by student, with demographic information, an ...
- 428
3
votes
1
answer
1k
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Multilevel models vs GLMMs for correlated clustered data
What is the difference between the Generalized Linear Mixed Model (GLMM) and a multilevel model?
- 31
9
votes
0
answers
2k
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When and why do I have to use "trait" for multinomial multilevel models with MCMCglmm in R?
I want to estimate a multilevel multinomial logit model but I am struggling with the terminology and notation used by the R-package MCMCglmm. There is documentation ...
2
votes
1
answer
104
views
When fitting a GLMM, is the predicted value for any success or all successes or what?
I am relatively new to multilevel modeling and have just been given an assignment that uses a generalized linear mixed effects model. The outcome is smoking status (1=yes, 0=no) measured at three ...
- 21
3
votes
0
answers
893
views
Assumptions of Linear Mixed Model
I had data with repeated measurement and nested design. Conventional ANOVA requires strict control on homogeneity of variance and repeated measurement ANOVA requires assumption of sphericity. Multi-...
- 95
4
votes
1
answer
4k
views
Specifying a multilevel model in MCMCglmm (R), that is heteroskedastic at level one
I am considering MCMCglmm as an alternative to MLwiN. The former package works perfectly fine, but I cannot figure out how to model heteroskedasticity at level one. For instance, if I have the ...
- 560
4
votes
1
answer
5k
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Level-2 predictions with lme4/glmer model
Let's say I've fitted a 2 level model with glmer like this:
...
- 205
5
votes
3
answers
2k
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How to do binary logistic regression on people (couples) clustered within homes?
I am looking at the relationship between housing characteristics and a health outcome. To make the example simple, I have data for a continuous predictor (exposure) collected from 1000 homes and ...
- 1,975
7
votes
3
answers
607
views
Temporal analysis of variation in random effects
I am looking at patient data where the main outcome of interest is mortality within 30 days following hospitalisation with an emergency condition. I am working on data from 2003-2017, with ...
- 2,020