Linked Questions

6
votes
3answers
4k 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 ...
0
votes
0answers
227 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.
2
votes
1answer
76 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? ...
297
votes
10answers
286k 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 ...
55
votes
5answers
6k 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 "...
47
votes
2answers
37k 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 ...
24
votes
5answers
4k 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 ...
13
votes
6answers
11k 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 ...
14
votes
3answers
5k 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 ...
10
votes
5answers
11k 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 ...
4
votes
2answers
5k views

What is the difference between fixed effects model and random effects model for a meta-analysis of sample correlations? [duplicate]

Fixed effects model seems to differ from random effects model for a meta-analysis of sample correlations in terms of assumptions. What is key assumption for a fixed effect model?
6
votes
4answers
317 views

Accounting for grouped random effects in lme4

I am editing my question as it was not detailed enough. I made an (unsuccessful) shortcut. Sorry, here is the entire story. In my experiment I test subjects' reactions to some (simulated) situations....
8
votes
1answer
381 views

Can we model non random factors as random in a multilevel/hierarchical design?

The distinction between strictly random variables (which ought to be modeled as such) and non random variables which some argue could be modeled as random if it is a hierarchical/multilevel model, is ...
6
votes
2answers
559 views

Mixed model in simple english

Can someone please explain the intuition behind mixed models in a nutshell? Whenever I read explanations, I get overwhelmed by notation and mathematical jargon. Can someone give me a simple example or ...
15
votes
2answers
713 views

Intuition about parameter estimation in mixed models (variance parameters vs. conditional modes)

I have read many times that random effects (BLUPs/conditional modes for, say, subjects) are not parameters of a linear mixed effects model but instead can be derived from the estimated variance/...

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