Linked Questions

10 votes
3 answers
15k views

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 ...
Kang Inkyu's user avatar
6 votes
3 answers
3k views

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 ...
Thomas's user avatar
  • 125
2 votes
1 answer
1k views

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? ...
Ber Baysan's user avatar
1 vote
1 answer
1k views

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 ...
Jade west's user avatar
5 votes
0 answers
974 views

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 ...
Fred's user avatar
  • 607
1 vote
0 answers
325 views

ANOVA Test is used on mean score of individual studies' parametric estimates with fixed and Known population or random unknown population.
Subhash Chander Paul's user avatar
0 votes
0 answers
33 views

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, ...
The One's user avatar
  • 235
404 votes
13 answers
408k views

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 ...
Beta's user avatar
  • 6,526
71 votes
5 answers
13k views

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 "...
amoeba's user avatar
  • 109k
66 votes
2 answers
70k views

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 ...
N26's user avatar
  • 1,995
32 votes
5 answers
8k views

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 ...
jokel's user avatar
  • 2,813
21 votes
6 answers
20k views

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 ...
Beta's user avatar
  • 6,526
17 votes
3 answers
9k views

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 ...
Stat-R's user avatar
  • 691
20 votes
5 answers
29k views

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 ...
HXD's user avatar
  • 37.8k
12 votes
4 answers
2k views

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 ...
Graham Wright's user avatar

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