Refers to Generalized Estimating Equations which is an approach to estimating regression coefficients. GEE can be used to clustered data and has the attractive property that it will provide consistent estimators of regression coefficients and unbiased inference even when the association structure ...
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37 views
Suggestion for statistical analysis. Is generalized estimating equation (GEE) a good option?
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
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0answers
26 views
GEE: Pairwise comparisons at different levels of a covariate?
I'm familiar with basic regression methods, but have no experience using GEEs. I use SPSS, and I'm trying to use a GEE for a dataset that I have, because there is a repeated measures component in my ...
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1answer
34 views
How can generalized estimating equation be applied to analyze network data?
I'm using the analytical strategy of Christakis and Fowler to study the spread of behaviors in social networks. Page 566 of this article reviews their method in more details: ...
2
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0answers
129 views
GEE (or GLMM) in SPSS: Interpreting outputs and model selection
I am attempting to analyze my (experimental psych) data in SPSS, and I have a few questions regarding the kind of analysis I should be using (GEE or GLMM), how I should be interpreting the output, and ...
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0answers
48 views
How to interpret Generalized Estimating Equation output?
I was wondering if anyone could help me with a query regarding Generalized Estimating Equations (GEE).
Background: I’m looking at the effect of treatment on the feeding rate (counts of casts) of a ...
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0answers
31 views
Help modeling school consent rate changes after an intervention
I have # of students consenting to be vaccinated and # of students eligible to be vaccinated for 77 schools in three school years (2010/11, 2011/12, and 2012/13). Between 2011/12 and 2012/13 there was ...
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0answers
14 views
How to analyze data with more than one associated categorical dependent variables?
I have some dependent variables related to the growth of a company having categories like (e.g. for variables indicating net profit, financial turnover etc.)
(1) decreasing,
(2) stable,
(3) ...
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0answers
29 views
Regression with some associated ordinal dependent variables
I have some associated categorical dependent variables that are ordinal in nature (with 4 or 5 categories). If I want to see the effect of a set of independent variables (which can be both continuous ...
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0answers
46 views
Can GEE handle small unaccounted clusters in data?
A survey is being administered in a resource intensive setting. A 2-phase study design will be implemented using cases and controls identified by a certain behavior (say, smoking) and they will be ...
1
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1answer
65 views
How can I get annual rates of change for combined trend estimates?
I would like to combine trend indices (gained with different methods referring to the same subject, assuming they do not differ significantly) of two different time series and to derive the combined ...
3
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0answers
186 views
Understanding output of a GEE model in R - Naive S.E vs. Robust S.E?
Happy New Year to all of you.
I have a question regarding the interpretation of the output I get by fitting a GEE model in R. Attached is the picture of the output I get:
1) The first column, ...
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1answer
50 views
How to analyze ordered data type with past missing observations?
I am having trouble understanding what method to apply for the analysis of the following type of data:
...
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0answers
179 views
The role of scale parameter in GEE
I am learning the generalized estimating equations (GEE) and the geepack R package. There are some questions that I am a little confused.
In a GEE-constructed ...
2
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1answer
117 views
Type of data missingness in R
I am working on a short panel of 3 periods with a few hundred subject, and as the question and as the question suggests, I have some blanks. I know that there are not due to attrition since it is ...
1
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0answers
39 views
standard errors for marginal models with no clustering
Just a question about how robust standard errors are fitted in marginal models with GEE: I noticed that if I try to fit a model with clusters of size 1 (i.e. no clustering, therefore no intra-cluster ...
1
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0answers
116 views
Logistic Regression with dependent observations
I have a dataset that contains 100 different patients over 5 year’s period. Every patient is examined each month with regard to particular illness and marked as healthy or ill (0 or 1). Every person ...
1
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0answers
145 views
Interpretation of very small GEE Interactions
I have multiple GEE models predicting learning scores from the interactions of psychophysiological data of subjects, e.g. features of Electroencephalograph (EEG), respiration, etc., in a 2 condition ...
2
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0answers
173 views
R-squared equivalent for Generalized Estimating Equations (GEE) using a ordinal logistic regression model
Is there a measure that shows how well GEE using a ordinal logistic regression model explains the amount of variance in the data?
3
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1answer
130 views
Which model to use with repeated measures data that contains multiple binary dependent variables
What model should I use??? I have daily repeated measures data. It has multiple dependent presence absence variables, (of which, I have collapsed into a CA with continuous variables of CA1 & ...
2
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2answers
480 views
How do I do nonlinear generalized estimating equations in SPSS
Say I have two conditional media for bacteria growth: a bacteriocidal drug and control. I want to see the effect of my bacteriocide on culture growth, so I set up 6 flasks: three with drug, three ...
2
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0answers
125 views
Control for previous day values when doing across day analysis with generalized estimating equations?
I am a graduate student and have a question regarding generalized estimating equation analysis. When conducting across day analysis with GEE, with variable a on day x predicting variable b on day x+1, ...
2
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1answer
261 views
How do I compare the quasi likelihood of two multi-level generalized estimating equation models?
With the log-likelihood chi-square statistics I can compare two linear mixed models (Maximum Likelihood) and see which one is the better one. But the GEE gives Quasi Likelihood under Independence ...
5
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0answers
149 views
What GEE-exchangeable method can do that robust variance can't?
I asked a related question before here on the difference between GEE method with exchangeable varcov structure v. Robust standard errors known as Huber White method in group randomized trials. As ...
6
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1answer
98 views
To aggregate and lose resolution OR not to aggregate and suffer with correlated binary data?
I have data from an experiment in which each participant provides a binary response to each presented stimulus, which is either correct (1) or incorrect (0).
There are 4 different stimulus types, ...
5
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0answers
153 views
Selecting link function in GEE with binary dependent variable
In my experiment participants had to make a binary (yes-no) decision about various stimuli. I have two categorical (stimulus characteristics coded as -1 0 and 1 and treatment group coded as 0 1) and ...
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0answers
49 views
Comparison between multi-level modelling and generalized estimating equation [duplicate]
Possible Duplicate:
When to use generalized estimating equations vs. mixed effects models?
I have a dataset from collected by cluster randomized sampling, I did a logistic regression on ...
5
votes
1answer
773 views
GEE with exchangeable working covariance vs. assuming independence and using Huber-White standard errors?
I'm analyzing a dataset including 13000 students. Students are clustered into schools/grades. The ICC (intraclass correlation coefficient) shows that students in a same school are correlated. ...
5
votes
1answer
1k views
Generalized estimating equations output in SPSS
I am hoping to confirm that I have a suitable way to analyse the different proportions of people who are categorized as left lateralised on the one hand, or bilateral/right lateralised on the other in ...
6
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3answers
3k views
Difference between generalized linear models & generalized linear mixed models in SPSS
I am wondering what the differences are in SPSS between
analyze-> generalized linear models-> generalized linear models &
...
2
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0answers
266 views
Controlling for a variable in a GEE using SPSS
I have a dataset which I think would suit GEE. I am trying to assess the relative contribution of a number of simultaneous predictors and their interactions to the intensity of hurt feelings. I asked ...
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0answers
82 views
Troubleshooting unreasonably large parameter estimates from GEE
I'm using the geepack package in R to fit a variety of models to repeated measures data, albeit with varying cluster sizes. However, for some correlation structures ...
1
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0answers
105 views
Within group correlation of pearson's residuals
I have social network data in which an "ego" names a friend "alter". I am running a regression in R in which attributes of alter are predictors of outcomes for ego. So each observation is dyadic with ...
0
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0answers
18 views
unstandardized coefficients where mean-centered X variables have +/- values from 0 [duplicate]
Possible Duplicate:
How to interpret regression coefficients for a variable with takes positive and negative values?
I'm performing negative binomial regression and one of my centered-mean ...
2
votes
2answers
2k views
How to interpret regression coefficients for a variable with takes positive and negative values?
I am running a GEE negative binomial regression to see how predictors affect the onset of violence through time.
I have an $X$ variable (vegetation cover) which is calculated as whether an ...
3
votes
1answer
622 views
Interpreting coefficients of ordinal logistic regression when there is clustering within the data
I have built and refined a regression model using the ordinal package in R. The measure is $0>1>2>3>4>5$ (Yes/No ...
1
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2answers
1k views
How to perform model selection in GEE in R
I would like to do model selection for generalized estimating equations (GEE). Pan (2001) is most frequently cited for developing a method using QIC. I am wondering if anyone knows of a way to do this ...
5
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1answer
2k 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 ...
6
votes
1answer
168 views
How to analyze GEE with unevenly spaced observations?
I am interested in using Generalized Estimating Equations (GEE) to model longitudinal count data. I recorded animal count observations on the same sites on many days but the spacing of the ...
2
votes
1answer
951 views
Getting the variance-covariance matrix of regression coefficients in GEE
I fitted a GEE model using the function genZcor with user defined
correlation matrix. I want to get the var-cov matrix of the regression
coefficients. But the ...
1
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0answers
257 views
Can R geeglm handle proportion data?
I want to fit a regression model to see whether these is changes in the proportion of First-year students over years. I have count data for the total count of First-year students (FirstTimeStudents) ...
8
votes
1answer
2k 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 ...
13
votes
1answer
5k 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 ...
2
votes
0answers
111 views
Modelling “gaps” in a Poisson regression
I am conducting an analysis into offending in relation to a time-dependent exposure - onset of heroin use, over a persons life. I am using poisson GEE with offending aggregate to a persons age-year. ...
4
votes
1answer
267 views
Is there a package for R that allows smoothing splines in GEE?
I run into a problem where I would like to build a GEE in R with cubic regression splines (or any other spline type) for a longitudinal data set and an urgent need for grouping and multiple ...
0
votes
1answer
353 views
Estimating population average models in lmer or geepack
I would like to know how to estimate a population average model of a hierarchical logistic regression using geepack in R.
The stata code is:
...
6
votes
0answers
381 views
How can I assess GEE/logistic model fit when covariates have some missing data?
I have fit two generalized estimating equation (GEE) models to my data:
1) Model 1: Outcome is longitudinal Yes/No variable (A) (year 1,2,3,4,5) with longitudinal continuous predictor (B) for years ...
5
votes
1answer
221 views
Distribution family for a ratio dependent variable in a generalized estimating equation
I have several dependent variables that are measures of racial disproportionality; I've calculated them as:
% of events caused by racial minority group / % of events caused by racial majority group
...
