All Questions
23 questions
0
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1
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50
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Controlling for variables in multilevel logistic regression modeling
I am new to mixed models and want to calculate a binary mixed model. However, I can't make much sense of the results and am hoping someone can help me out.
So I want to calculate the probability of a ...
1
vote
1
answer
114
views
R - How to Address Small Number of Groups in Multilevel Logistic Regression?
I'm implementing a multilevel logistic regression model in R to predict a binary courtroom decision with 8 categorical and 7 numerical predictors. I believe a multilevel model to be appropriate ...
0
votes
0
answers
71
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Looking for advice on analysis plan using a mixed linear regression model
I am writing the preregistration for a study and I wanted to check whether my analysis plan can be improved.
Data description
I attached a picture of some random example data to give you a sense of my ...
- 21
0
votes
0
answers
92
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interpreting assumption tests for multilevel modelling
I have run a multilevel logistic regression model using the glme package in R. I now need to test the assumptions but I am not sure how to interpret the graphs I get, nor whether I'm doing the correct ...
- 51
0
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1
answer
3k
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Residual diagnostics in DHARMa for multilevel logistic regression
I'm running a multilevel logistic regression, and have been trying to look at residual diagnostics using the DHARMa package. My data is copy-pastable from here and the following code should run ...
-1
votes
1
answer
2k
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Hierarchical logistic regression package in R
I'm working on a logistic regression model; the purpose of the analysis is to identify factors that influence use of an app - the DV being use/no use, and IVs being a couple of numerical and ...
1
vote
1
answer
566
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three-level logit regression with random slopes
I am trying to find the correct code for a three-level multivariate logit regression. I have protest participation, education level, and income data from a number of countries. Data are also divided ...
- 11
2
votes
1
answer
166
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Choosing a regression model for proportion data at the school level
I am working on a dataset where I have the percentage of students who passed at a test for each 189 schools in my sample. The data is aggregated, so I have the total number of student who sat the test ...
- 21
2
votes
1
answer
252
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Interpeting multilevel logistic regression
I ran a multilevel logistic regression, and I rescaled the variables using the scale function. The variables in my data set are centered around the mean and ...
- 123
2
votes
1
answer
321
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Multi-level logistic regression - probability received from the intercept is different from the original sample
I am running multi-level logistic regression in order to perform case-mix adjustment (corrected estimates) for 100 clinics. I got some results but they are somehow suspicious to me. I noticed that ...
- 21
0
votes
1
answer
255
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How to express mixed logistic regression in formal notation?
I'm working with glmer in the lme4 package in R to estimate a binary outcome variable from ...
- 103
1
vote
0
answers
28
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Multilevel logistic regression for 3 by 3 factorial design? Sparse matrix problem
For the sake of example, let’s say this is a costumer research study.
I have a binary outcome (x) that is either making a purchase or not making it.
I have three independent variables: store ...
- 290
1
vote
3
answers
386
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How do I model a dependent variable that is a proportion?
Problem
I am trying to test gender differences in the risk propensity of investors related to specific kind of stocks. More specifically, I want to the test the hypothesis predicting that female ...
- 715
1
vote
1
answer
3k
views
Confidence intervals for emmeans estimates after multilevel binary logistic regression
I ran a multilevel binary logistic regression / generalized linear mixed-effects model in R, and then ran the following code to get post-hoc tests for a significant A x B interaction where A is a ...
- 315
1
vote
0
answers
347
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Logistic regression with unbalanced sampling [duplicate]
Lets say I have a dataframe that looks like this:
...
- 2,361
0
votes
0
answers
35
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R/Lme4: Trouble specifying random effects properly in a repeated measures logistic HLM
I am having trouble getting appropriate random effects output when using the glmer command in lme4.
My dataset is a long-form ...
4
votes
1
answer
655
views
GLMM with time-series covariance and binary response variable?
I have a binary response variable that was measured at irregular time intervals for a number of individuals. I want to fit a GLMM that accounts for the time-series covariance within individuals.
I ...
- 1,096
9
votes
1
answer
2k
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Estimating Multilevel Logistic Regression Models
The following multilevel logistic model with
one explanatory variable at level 1 (individual level) and
one explanatory variable at level 2 (group level) :
$$\text{logit}(p_{ij})=\pi_{0j}+\pi_{1j}x_{...
- 1,705
4
votes
1
answer
2k
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Multilevel logistic regression : Simulation Study
I have written R codes for simulating data from Multilevel logistic regression model .
I focus on the following multilevel logistic model with
one explanatory ...
- 1,705
1
vote
0
answers
86
views
Syntax for a logistic multilevel analysis in R? [closed]
I am looking for advice on what package and syntax to use in R for modelling a logistic multilevel analysis with variables as follows:
Dependent variable (binary) = 0 or 1
Independent variable 1 (...
- 368
0
votes
0
answers
56
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Need help setting up multilevel logistic regression
I am trying to see the effect of a certain intervention in schools. The outcome variable is binary. We have students within schools. Also students' age is a covariate (doesn't changed before and after ...
- 331
1
vote
0
answers
5k
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How to estimate ICC (degree of clustering) in hierarchical logistic regression?
I am exploring hierarchical logistic regression, using glmer from the lme4 package. To my understanding, one of the first steps in multilevel modeling is to estimate the degree of clustering of level-...
- 11
4
votes
3
answers
5k
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Stepwise model selection, Hosmer-Lemeshow statistics and prediction success of model in nested logistic regression in R
is it possible to do stepwise (direction = both) model selection in nested binary logistic regression in R? I would also appreciate if you can teach me how to get:
Hosmer-Lemeshow statitistic,
Odds ...
- 121