# Tagged Questions

75 views

### Inference on fixed effects in a mixed effects model

I have correlated data and am using a logistic regression mixed effects model to estimate the individual level (conditional) effect for a predictor of interest. I know that for standard marginal ...
70 views

### Large errors for logistic regression, what does it mean?

I run the following scripts in r for mixed effect logistic regression. ...
88 views

### Logistic regressioin - contradictory results?

I am using the glmer method in lme4 to build a mixed effect logistic regression model, the model is as follows: ...
80 views

### Inference for between group differences (with non-linear time component, outliers and mixed effects)

TLDR: How can I perform inference for the between group differences in a possibly logistic growth with time in the presence of outliers, unequal measurement times and frequency, bounded measurements ...
125 views

### How to fit a logistic regression for 1 dependent variable and 1 qualitative variable measured twice

I am struggling to fit a simple logistic regression for one dependent value (group) by one independent qualitative variable (dilat) measured twice independently (rater). I try many solutions and ...
50 views

### Comparison with trial dependent chance level

I ran an experiment where each participant had to choose 1 image from a 4-image display and I measured whether the image they chose was from category A. I want to compare the average proportion of ...
62 views

### Interpretation of probabilities from a mixed-model logistic regression

In the following model specification, which is a random intercept 2-level logistic regression: Would two lower level units ($i$) with the same value of $x_{1ij}$ and within the same higher level ...
33 views

### Does it make sense to include higher level predictors when there is no higher level variance?

I want to test the relative importance of incident, victim and neighbourhood characteristics on the probability of a crime being reported to the police. I use a three-level random intercept logistic ...
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### Logistic Regression - Predicting an event with a couple time-related issues

I'm using logistic regression to predict the occurrence of tree carcasses falling after a mortality event. Data include a variety of topographic and tree characteristic variables and also time since ...
137 views

### Are there packages for fitting ordinal logistic/probit mixed models with random slopes in R?

I'm looking for a way to fit an ordinal logistic and/or probit mixed model that includes random slopes. The only package for R I could find that allows for random effects at all in ordinal mixed ...
143 views

### Which model to use with repeated measures data that contains multiple binary dependent variables

What model should I use??? I have daily repeated measures data. It has multiple dependent presence absence variables, (of which, I have collapsed into a CA with continuous variables of CA1 & ...
9k views

### How to interpret main effects when the interaction effect is not significant?

I ran a Generalized Linear Mixed Model in R and included an interaction effect between two predictors. The interaction was not significant, but the main effects (the two predictors) both were. Now ...
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### What are the assumptions of ordinal mixed effects logistic regression?

Specifically, what are the assumptions of ordinal mixed effect logistic regression performed with the "ordinal" package in R? I just got knobbled by a reviewer because these weren't clearly stated in ...
739 views

### Interpreting coefficients of ordinal logistic regression when there is clustering within the data

I have built and refined a regression model using the ordinal package in R. The measure is $0>1>2>3>4>5$ (Yes/No ...
189 views

### Crossed random effects and unbalanced data

I am modeling some data where I think I have two crossed random effects. But the data set is not balanced, and I'm not sure what needs to be done to account for it. My data is a set of events. An ...