Questions tagged [marginal-model]

A marginal model estimates population averages, in contrast to a subject-specific model that estimates an expected value conditional on a subject's attributes. In a linear model context, these are the same, but they differ for nonlinear models. The GEE is the most salient marginal model.

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how to interpret the marginal effect on y from an etregess model of ln(y)

Using stata (with weighted survey design) I ran the following, where logwage is the log of wage. The log was taken because wage was not normally distributed. There is also information about the ...
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28 views

Interpreting log linear margins with endogenous treatment effects

I'm having trouble in understanding the predictive margins after a log linear regression with endogenous treatment effects. Using stata (with weighted survey design) I ran the following, where logwage ...
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Understanding differences between lme4 versus geeglm

I recently started exploring the growth curve models or mixed models using lme4, and came upon marginal models in literature. The main difference lies in interpreting parameters, i.e. "in marginal, ...
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R Squared and the GeeGLM Marginal Model

I am trying to get a better understanding of why R-squared, pseudo R squared or some sort of regression coefficient does not seem to be something that is outputted by the geeglm package in R? I am ...
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43 views

Interpretation of average marginal effect for continuous variable in GLMM

I am trying to get a correct interpretation for the average marginal effect (AME) of a continuous variable in a logistic mixed effects model. I know similar questions have been asked and answered (...
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115 views

Inverse probability of treatment weights and linear mixed effects models

I am encountering a problem when using inverse probability of treatment weights with linear mixed-effects models for a difference-in-differences analysis. I have longitudinal data on participants. I ...
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676 views

Interpretation of average marginal effects for categorical and continuous variables

I'd like to make sure I'm interpreting average marginal effects for categorical and continuous variables correctly (interpretation of binary variables seems straightforward). Using Stata, I ran a ...
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639 views

how to replicate the stata “margins, atmeans” command in R with the margins library [closed]

i'm trying to replicate the output of margins female, atmeans in R shown here: https://stats.idre.ucla.edu/stata/dae/using-margins-for-predicted-probabilities/ i ...
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GEEs cannot analyze demographic variables but GLMMs can?

I thought I was coming to understand the difference between (binary) GLMMs and Marginal Models using GEE...until I encountered the following passage in Hosmer et al (2013: 328): The clear weakness ...
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315 views

How to estimate the margins distribution using ecdf?

Suppose we have a random variables x. x <- rnorm(500, 2,3) Suppose that we do not know the marginal distribution of (...
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Is there a concept of closure under marginalisation for space-time models

Consider a diagonal VAR(p) model for data at S spatial locations and T time points. The marginal model for the data at a subset of spatial locations is a lower dimensional diagonal VAR(p) model. So in ...
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122 views

How to control for repeated measurements without controlling for between-cluster variability?

I want to explore the effect of the average prenatal maternal stress (cortisol level, continuous measure) on offspring growth during a linear growth period (monthly body size measure, N = 17 infants, ...
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1answer
164 views

Trying to calculate industry averages for female employees

I have a dataset that lists employers in a particular industry, the number of employees they have and the breakdown of employees as male or female. I'm trying to get a number that reveals something ...
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1answer
265 views

Getting a 0 correlation for Poisson marginal model in geepack in R

I'm trying to replicate Table 13.8 from Fitzmaurice, Laird, & Ware (2011) using R for teaching purposes. This is a GEE count model of the number of bacteria on 30 patients at two waves. In their ...
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5k views

The difference between average and marginal treatment effect

I have been reading some papers, and I am unclear about the specific definitions of Average Treatment Effect (ATE), and Marginal Treatment Effect (MTE). Are they the same? According to Austin... A ...
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1answer
1k views

MIXED MODEL - can a fixed factor be continuous?

I am using the linear mixed function in SPSS and want to determine whether a continuous variable (attendance) has an effect on the repeated measurement of my DV (<...
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Does this analysis make sense and can references to similar work be provided? [duplicate]

I posted this question previously here, but did not receive any answers. I'm resurrecting this question in hopes that someone might be able to provide some feedback and/or references. Hopefully this ...
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283 views

GEE Logistic Model with Subject Specific Predictions?

I have fit a marginal logistic model or GEE Logistic Regression model using SAS' proc genmod to obtain estimated parameters associated with mortality (death). Using SAS, I am able to obtain subject-...
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Marginal model versus random-effects model – how to choose between them? An advice for a layman

In searching for any info about marginal model and random-effects model, and how to choose between them, I have found some info but it was more-or-less mathematical abstract explanation (like for ...
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1answer
4k views

Subject specific vs population average predictions

I am in doubt whether in my thesis I should report on the subject specific predictions of the probability to respond with an 'I don't know' answer, or the population average. Consider for example the ...
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9k views

Difference between marginal and conditional models

A marginal model accounts for the correlation within each cluster. A conditional model also takes into account the correlation within each cluster. My questions are: Does a marginal model models ...