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Questions tagged [geepack]

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17 questions
Newest Active Bountied Unanswered
2 votes
1 answer
72 views

I have a cross-sectional dataset with ~700 children nested within 616 families (siblings share the same famid). I want to test associations between exposures and ...
Aaliya Ahamed's user avatar
  • 101
0 votes
0 answers
55 views

I have an RCT dataset of people aged 60 years or older who have been hospitalised for a cardiovascular event and discharged from hospital just prior to entering the study. Participants are randomly ...
agallego's user avatar
  • 1
3 votes
1 answer
252 views

I'm trying to analyse a non-inferiority trial in R. Since there are correlated observations and a population averaged interpretation seems fine, I want to use GEE. To illustrate my problem, I will use ...
Mathemagician777's user avatar
  • 998
1 vote
1 answer
88 views

On a number of occassions, I have seen people remark that you should always interact your covariates with the with your slope when running multilevel models. That is, for example, you should not run ...
statslearner13's user avatar
  • 11
0 votes
0 answers
156 views

I was trying to learn how to estimate exchangable correlation matrix. I asked ChatGPT to give me an example so that I can learn the steps and ChatGPT gave me this example ...
Ahir Bhairav Orai's user avatar
  • 177
0 votes
1 answer
130 views

The example shows that knowing the design matrix of correlation parameters is sufficient to specify the working correlation. ...
user avatar
1 vote
0 answers
56 views

I ask this because the geepack does not "depend" or import from the stats package according to https://cran.r-project.org/web/packages/geepack/geepack.pdf. the stats package has the function ...
Bsduyu's user avatar
  • 11
0 votes
0 answers
135 views

I am running analyses of longitudinal health data. Each subject has two health measurements—one at age 60, and one at age 80. Subjects are marked as either "healthy" or "sick" at ...
Brian M.'s user avatar
  • 71
2 votes
0 answers
513 views

I believe the QIC function in geepack has a significant error. The function appears to incorrectly specify the independence model, which is needed to calculate QIC. The function will therefore often ...
Brian M.'s user avatar
  • 71
0 votes
1 answer
192 views

(See "Edits" at the bottom for partial resolution.) I am interested in generating point estimates for each cluster in my data using geeglm.  However, when I use as.factor() over the ...
Brian M.'s user avatar
  • 71
1 vote
0 answers
89 views

I would like to know if there is a way to get an overall p-value for an independent categorical variable using generalized estimating equations in R. When I run the analysis, the output provides p-...
mmak's user avatar
  • 21
0 votes
0 answers
73 views

Let's consider a longitudinal data. Let $Y_{i}$ be the vector of $n$ repeated measurements for the $i$ th subject : $$ \boldsymbol{Y}_{i}=\left(Y_{i 1}, Y_{i 2}, \ldots ,Y_{i n}\right)^{\prime} $$ And ...
Rasel Biswas's user avatar
  • 11
2 votes
1 answer
2k views

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 ...
Martin's user avatar
  • 199
2 votes
0 answers
340 views

Consider a standard study of n patients (given as id variable), several time points of measurement (given as measurement.order), ...
Martin's user avatar
  • 199
0 votes
1 answer
77 views

I can’t run regression trees without geeglm. I have longitudinal data so rpart wouldn’t work. Is there a way to get regression trees with geeglm?
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