Linked Questions

1
vote
0answers
166 views

Suggestion for statistical analysis. Is generalized estimating equation (GEE) a good option? [duplicate]

I have two groups a G1 and control. For both groups we measured their cell counts every 10 minutes: 0 to 650 min. We are trying to find: Difference (in cell counts) between G1 and controls - ...
0
votes
0answers
139 views

Repeated measure problem (Discrete variables) [duplicate]

Possible Duplicate: Difference between generalized linear models & generalized linear mixed models in SPSS Repeated measure problem I have 6 subjects. For each subject, we measured two ...
0
votes
0answers
40 views

What is the main conceptual difference between GEE and GLM? [duplicate]

I have been often using GEE for complex panel analyses. However, it occurs to me that in many cases GLM would have provided similar results. What is the main conceptual difference between the two?
301
votes
10answers
291k 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 ...
64
votes
3answers
67k views

When to use generalized estimating equations vs. mixed effects models?

I have been quite happily using mixed effects models for a while now with longitudinal data. I wish I could fit AR relationships in lmer (I think I'm right that I can't do this?) but I don't think it'...
27
votes
1answer
21k views

What is the difference between generalized estimating equations and GLMM?

I'm running a GEE on 3-level unbalanced data, using a logit link. How does this differ (in terms of the conclusions I can draw and the meaning of the coefficients) from a GLM with mixed effects (GLMM)...
25
votes
2answers
26k views

General Linear Model vs. Generalized Linear Model (with an identity link function?)

This is my first post, so please take it easy on me if I am not following some standards! I did a search for my question and nothing came up. My question relates mostly around the practical ...
10
votes
2answers
8k views

What is the difference between logit-transformed linear regression, logistic regression, and a logistic mixed model?

Suppose I have 10 students, who each attempt to solve 20 math problems. The problems are scored correct or incorrect (in longdata) and each student's performance can be summarized by an accuracy ...
9
votes
1answer
16k views

What is the difference between GLM and GEE?

Whats the difference between a GLM model (logistic regression) with a binary response variable which includes subject and time as covariates and the analogous GEE model which takes into account ...
1
vote
1answer
19k views

Can a percentage be used to calculate the mean etc. in a t-test?

I have data that includes the number of students in a class and the percentage of that group who achieved a preset pass level in a standard test. I have this data for a number if different schools in ...
4
votes
1answer
18k views

Non-parametric version of paired t-test (Mann–Whitney U test)

I have data from 100 individuals doing a 2AFC under a control and a manipulated setting. I want to compare the means. I initially used a paired t-test. My supervisor noticed the distributions were not ...
6
votes
3answers
1k views

Which logit or probit model should I use for multiple response / dependent variables?

I have $300$ time series objects that constitute the $300$ columns of matrix $X$. This matrix has $5$ rows and represents $5$ days of time series information for each $300$ columns. I set up a $300\...
6
votes
1answer
2k views

Count explanatory variable, proportion dependent variable

I am having a little trouble coming up with a way of analyzing my data. If there is a short answer (i.e., "use logistic regression, dummy") you can just post that and I'll do some digging on my own - ...
3
votes
1answer
2k views

In what sense is the interpretation of coefficients in a GLMM subject-specific?

There is something I'm not quite understanding conceptually about the output from generalized linear mixed models. I have read that the target of inference in GLMMs is subject-specific. For example, ...
1
vote
1answer
2k views

How to test for significance if groups differed at baseline?

I have a situation where I want to test for a statistically significant difference in the percentage of customers who own a product among two groups. The treated group gets a marketing message, and ...

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