Linked Questions
129 questions linked to/from What is the difference between fixed effect, random effect in mixed effect models?
10 votes
3 answers
15k views
What is the intuition on fixed and random effects models? [duplicate]
Now I'm having a hard time having a grasp on the difference between fixed and random effects of regression models. I believe I understand it's recommended to use random effects if you consider ...
6 votes
3 answers
3k views
Mixed models in ecology: when to use a random effect [duplicate]
My understanding of a random effect is based on this paper, specifically this definition: Random effects: factors whose levels are sampled from a larger population, or whose interest lies in the ...
2 votes
1 answer
1k views
What is the difference between Generalized Linear Models(GLM), Fixed-effect models (FE), and Random-effect models (RE)? [duplicate]
I am new to statistics and I am looking for a general answer. Can someone explain (very simply) what is the relationship between Fixed-effect & Random-effect models with Generalized Linear Models? ...
1 vote
1 answer
1k views
Panel Data- FE vs RE [duplicate]
I am trying to understand the different Panel Data models and I am getting confused by the different terms that people use, i.e., Random effect models and Random effects estimators and Fixed effect ...
5 votes
0 answers
974 views
Fixed-effects or mixed-effects models to population based data [duplicate]
There are various definitions of fixed and random effects in linear mixed-effects models in the statistics literature, and even in the fixed-effects models from econometrics. The data I have now ...
1 vote
0 answers
325 views
What is the difference between fixed effect and random effect model of ANOVA and when these should apply? [duplicate]
ANOVA Test is used on mean score of individual studies' parametric estimates with fixed and Known population or random unknown population.
0 votes
0 answers
33 views
Understanding the Distinctions: Fixed Effects vs. Random Effects in Panel Data Analysis [duplicate]
I'm seeking clarification on the distinction between fixed effects and random effects in the context of panel data analysis. My understanding is as follows: Fixed Effects: In a fixed effects model, ...
404 votes
13 answers
408k views
Difference between logit and probit models
What is the difference between Logit and Probit model? I'm more interested here in knowing when to use logistic regression, and when to use Probit. If there is any literature which defines it using ...
71 votes
5 answers
13k views
How exactly does a "random effects model" in econometrics relate to mixed models outside of econometrics?
I used to think that "random effects model" in econometrics corresponds to a "mixed model with random intercept" outside of econometrics, but now I am not sure. Does it? Econometrics uses terms like "...
66 votes
2 answers
70k views
What is a difference between random effects-, fixed effects- and marginal model?
I am trying to expand my knowledge of statistics. I come from a physical sciences background with a "recipe based" approach to statistical testing, where we say is it continuous, is it normally ...
32 votes
5 answers
8k views
What is the mathematical difference between random- and fixed-effects?
I have found a lot on the internet regarding the interpretation of random- and fixed-effects. However I could not get a source pinning down the following: What is the mathematical difference between ...
21 votes
6 answers
20k views
Difference between panel data & mixed model
I would like to know the difference between panel data analysis & mixed model analysis. To my knowledge, both panel data & mixed models use fixed & random effects. If so, why do they have ...
17 votes
3 answers
9k views
Concepts behind fixed/random effects models
Can someone help me to understand fixed/random effect models? You may either explain in your own way if you have digested these concepts or direct me to the resource (book, notes, website) with ...
20 votes
5 answers
29k views
When to use mixed effect model?
Linear Mixed Effects Models are Extensions of Linear Regression models for data that are collected and summarized in groups. The key advantages is the coefficients can vary with respect to one or more ...
12 votes
4 answers
2k views
Why is it OK to model demographics as random effects in bayesian multilevel models?
In Bayesian multilevel models (with, say, people nested within congressional districts) I sometimes see individual level demographic variables like race modeled as random effects. So here’s a slightly ...