Questions tagged [generalized-estimating-equations]

Stands for Generalized Estimating Equations which is an approach to estimating regression coefficients. GEE can be used on clustered / longitudinal data and has the attractive property that it provides consistent estimators of regression coefficients and unbiased inference even when the association structure within a cluster is mis-specified.

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Is there anything wrong in my process of using GEE (Generalized Estimating Equations) in SPSS?

I'm relatively new in statistics and although I've already searched a lot to analyze, I'm not 100% sure about the process. I first wanted to just ask the questions or process I've done that I'm not ...
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Different p-values in Repeated Measures Poisson Regression and Type3 Analysis

I am working on data for 10 years that has counts of hospitalization and population size by countries. I also have other covariates that I need to control for. Using GEE Poisson regression, and ...
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37 views

GEE vs Marginal Models: Are they the same? How are they different?

In Agresti's "Foundations of Linear and Generalized Linear Models", section 9.1.3 unambiguously states that "GLMMs imply marginal models" and demonstrates in a few lines how "...
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19 views

GEE interaction term in R

Hi I am troubling with interaction terms in R. I am using geeglm in geepack package. I would test interaction brain activity by region, hemisphpere, and groups. This is my R code, ...
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49 views

How to assess GEE quality and fit, e.g. by residuals(?)

In contrast for generalized linear models (for GLM, there is e.g. AIC and null vs. residual deviance), I could not find such criteria implemented in R to judge my generalized equation (GEE) models. Is ...
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24 views

Normality requirements for GLM and GEE models

From what I was reading for several hours now about these models, requirements and normality, I understand the following, albeit there are some contradictory statements, so I am confused. May I ask ...
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How to analyze the data for measuring multiply site from same patients? Repeated Measures Analysis of Variance (ANOVA)?

I am doing a study to evaluate the effect of ossification ligament on thoracic vertebra. The purpose was to explore whether the evoked potentials is different between compressed area and uncompressed ...
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20 views

Understanding Random Effects in Mixed Effects Model and GEE

So I am trying to understand the difference between Mixed Effects Models and Generalized Estimating Equation (GEE) models and am having a hard time understanding what the random effects are referring ...
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26 views

Is GEE the simplest choice for a 2x2 factorial design with repeated measures and binary dependent variable?

I have a 2x2 factorial design. Both independent variables are binary (age: young/old and condition: experimental/control). Age is between subject and condition is within subject. The dependent ...
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30 views

Endogeneity tests in GEEs

I am running a GEE panel regression. I would like to check for endogeneity using the Durbin-Wu-Hausman test. I am aware of the ivregress, ivreg2 and xtivreg2 command but I am not sure if I am allowed ...
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two levels spatial regression in r

I need help to find the proper approach in R for an analysis of data. I have measures of a variable Y for various individuals, distributed in various geographical ...
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How to specify a (e.g. GEE) model for subjects and longitudinal observation **with data on 2 eyes**

I have the following study: $n$ patients with data on usually both eyes. A disease can affect either eye (usually one, but can be both simultaneously), at any time, i.e. in January left eye affected, ...
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Do unequal time intervals for waves parameter in gee analysis matter? (geeglm in R)

Consider a standard study of n patients (given as id variable), several time points of measurement (given as measurement.order), ...
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5 views

Implication of a kronecker product that is Martignale Difference Sequence

I have only come across the Kronecker product of two matrices in the past, and as such I find this equation that I have encountered in an Econometric Theory paper (surrounding sign-based inference) ...
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different contrasts gee poisson

I'm running the following gee poisson model on my dependent variable (Counts) with between subject variable "PlayOrder" having 2 levels(PlayOrder1 and PlayOrder2) and within subject variable ...
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How can I implement a Generalized Estimating Equation method on spatially autocorrelated time-series data?

I used Generalized Estimating Equations (geepack in R) on my regularly monitored (twice a year) plant abundance data in grid cells to evaluate their trends of density. Since these are time-series data,...
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49 views

GEE Interpretation beta coefficient

I am running a Generalized Estimating Equation in STATA with link(log) corr(independent) family(gamma) and vce(robust). The results of the command... ...
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Binary Repeated Measures with One Group

I have a set of experiment data that has one group of participants who answered questions under different experimental conditions (about 5 questions per experimental condition combination). The ...
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17 views

Bonferroni method for adjusted p-values on GEE model

I have longitudinal data from 4 years on 5 stations. For each data point I have dependent data (because the data was collected from the same group of individuals on one day, but I cannot say, if it ...
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23 views

Is it OK to use GEE insetad of GLM for non-repeated data?

I analyse data, that are repeated (pre-post), but I work with change from baseline instead. This is a non-randomized experiment, so I was advised to run this kind of analysis bearing in mind the Lord'...
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42 views

Generalized estimating equations (GEEs) for zero-inflated models

I have a dataset of matched pairs and was initially planning on running a Poisson mixed-effects model. However, GEEs seem more appropriate for my research question since they are "population ...
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33 views

Dropout in highly unbalanced longitudinal data (WGEE)

I have found a lot of software and examples that uses Weighted Generalized Estimating Equations to deal with missing data in a balanced data set (equal time points). However, I have a very high ...
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Why aren’t GARCH and VAR models used as frequently as GEE or Mixed effects in modeling clinical trial data?

Why are VAR models and GARCH models used in forecasting for economics and stocks but not in analyzing clinical trial data? The most common for clinical trial is mixed effects or GEE. Are they bad for ...
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How do we do GEE with a dataset having a lot of zeroes? (Statistics doubts regarding exploring climate data)

I am working on relationship between climate variables available per zip code and a certain disease incidence over 3 years. I found that Gini index and Generalized estimating equations (GEE) are the ...
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28 views

Three level clusters using GEE

I am analyzing a three-level clusters longitudinal dataset. Repeat measures (times), individuals, and groups. I wonder if GEE can be used in a three-level cluster dataset? I know how to use GEEPACK to ...
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Is it beneficial/feasible to use kenward-roger/satterthwaite degrees of freedom in generalized estimating equations?

Is it beneficial/possible regarding inferences to use kenward-roger standard errors in generalized estimating equations? I know kenward-roger is used with mixed-effects model when we have n<<p ...
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Meaning of sigma2 parameter in longpower package in R

I'm trying to perform a power calculation for a longitudinal study - 2 groups and 2 measurement time points that will be analyzed using GEE. I've been trying to run the 'longpower' package. However, I'...
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22 views

ANCOVA or Repeated measures ANOVA or GLMM or GEE

I've got the following problem: background A unwanted species keeps entering the farms. Some farms might be entered more often than others. There are 80 farms in total, subdivided into two groups: ...
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37 views

survival package cluster and longitudinal data

I have longitudinal data on a recurrent event thus I tried the GEE method with the option cluster(id) in the survival package. I was wondering if I can keep my model even if there is no significance ...
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162 views

Why GEE estimates are smaller than GLMM?

Both are estimators that maximize the marginal likelihood, only GLMM does so by first considering the conditional probability, while GEE assumes a covariance structure of the marginal probability ...
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21 views

GEE or fixed effect regression with clustered SE

What should be considered when choosing between GEE for repeated measure (panel) data, and generalised linear models with clustered (on individuals) sandwich variance estimator? For example, change in ...
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13 views

GEEGLM or NEGBIN with offset person time follow-up

I am analyzing number of hospitalizations in 5 years of followup for a cohort of subjects. Some of these withdraw before the end of study. How can I consider it in a model for count data? Is it ...
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62 views

SPSS GEE: which type of model to select?

I would like to conduct a GEE analysis (repeated measures logistic regression) but I am not sure whether my data allows me to run a GEE Binary Logistic Model or if I should use GEE Binomial Identity ...
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66 views

Is there a model that can handled unbalanced repeated measures data with 1 OR 2 follow ups?

I want to identify predictors of a binary healthcare outcome in a purely observational study, and some of my participants have 1 recorded outcome timepoint, while others have 2 recorded outcome ...
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35 views

What is a sufficient sample size for a logisitic multilevel (three-level) analysis?

I have an exploratory research question for which I use a repeated measure design with 3 levels: level 1 = 3 measurement occasions per day level 2 = day level 3 = participan To keep the effort for ...
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57 views

GEE standard errors lower than standard errors assuming independence

I have a categorical dataset where the outcome is nominal (with three categories). There are 300 observations, and each individual contributes two observations to the dataset. When I analyzed the data ...
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Modeling repeated cross sectional clustered data

I have repeated cross sectional data from convenience samples of students nested in schools nested in districts. I have data on student-level behavioral outcomes (binary) and school-level program ...
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55 views

Modeling binomial outcomes with repeated measures

I'm looking at patterns of a particular injury within individuals and how they vary by age and sex. For each of 1365 individuals I have four locations each of which may be positive for this injury. ...
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59 views

Difference between Linear Mixed Regression and Generalized Estimating Equation Results

I am using commonly available iris dataset and trying to do following regression: PW ~ PL + SL + SW Since samples are taken from 3 "Species", this is kept as random or group variable. The ...
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396 views

Why not always use generalized estimating equations (GEE) instead of linear mixed models?

I read about generalized estimating equations (GEE) here, here and at other sites. It is mentioned in first of above links that "the parameter estimates are nearly identical" for linear ...
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87 views

Alternative to Mixed ANOVA without homogeneity of variances

As is tradition on these posts, I should say I'm relatively new to statistical analysis at this level so if I don't provide enough info off the bat bear with me. So I've conducted an experiment ...
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Analysing change in preference (proportion time, 3 repetitions)

I thought I'd ask for help here as I'm getting myself confused! In a nutshell, I am looking at the proportion of time animals spend in 4 sound conditions (each animal is tested 3 times) as a measure ...
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27 views

May Pattern-Mixture Models be used in conjunction with generalized estimating equations in addition to with mixed-models?

May Pattern-Mixture Models be used with generalized estimating equations for longitudinal data analysis? Hedeker et al mentions pattern-mixture models for handling non-ignorable drop-out patterns and ...
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May the fisher-scoring algorithm be used when we can only compute the quasi-likelihood?

May the fisher-scoring algorithm be used when we can only compute the quasi-likelihood and can't find the full-likelihood function? IE, some cases where it's advantageous to use GEE rather than Mixed-...
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104 views

Confusion about marginal vs conditional models and reversal of association

I've been reading Walter Stroup's Generalized Linear Mixed Models: Modern Concepts, Methods, and Applications (2013), wherein the difference between "marginal" vs "conditional" models and inference is ...
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219 views

Post hoc test after GEE with repeated measures using R

I'm working on repeated measures design GEE and would like to get the result of post-Hoc test, but I don`t know how to do it. I just used those methods to get the result of post-Hoc test, but it ...
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210 views

How to deal with skewed distribution in GEE or GLM?

I have a group of repeated measurement data, the dependent variable (y) was skewed distribution when I build the GEE, should I transform y to a normal distribution variable first? Or Can I build the ...
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17 views

Panel Data Regression

Here (attached image), FTAs is my "Response Variable" and all the columns in the right are my "Covariates". It is clearly dependent on time so, there's a strong correlation. I want to find the most ...
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142 views

GEE: results significant only with independent and exchangeable correlation structure

I am trying to fit a GEE Poisson model on a panel dataset consisting of T=360 and N=304 for a total of >108,000 observations in Stata. My response variable measures a count of people imprisoned, and I ...
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58 views

Deriving asymptotic variance of generalized estimating equation estimator (GEE)

As well known to us, K.Y. Liang and S. Zeger proposed GEE for longitudinal data analysis in their famous paper[1]. At the appendix of the paper, authors show the proof of Theorem 2. I tried to ...

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