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-- Original Message ------
From: "Phat Chau"
To: "r-help@R-project.org" ; "sor...@math.aau.dk"
Sent: Sunday, 12 Jul, 2020 At 11:52 PM
Subject: Re: [R] Multi-level (nested) correlation structures via
geepack package
He
Hello,
I have a multi-level, cohort dataset with three levels: repeat measures of a
response (level 1), that are collected from individual participants (level 2)
who are students within a school (level 3). I would like to do a generalized
estimating equation (GEE) analysis of this clustered dat
resets the seed so
you must be calling it multiple times in some way.
Michael
On 14/06/2020 13:57, Phat Chau wrote:
> Thank you Michael.
>
> I will clarify some more. The function in the first part of the code that
I posted generates the simulated d
to be in the correct place to count successes.
Michael
On 14/06/2020 02:50, Phat Chau wrote:
> Hello,
>
> I put together the following code and am curious about its correctness.
My first question relates to the Monte Carlo simulations – the goal is to
contin
Hello,
I put together the following code and am curious about its correctness. My
first question relates to the Monte Carlo simulations – the goal is to continue
to iterate until I get n = 1000 simulations where the model successfully
converges. I am wondering if I coded it correctly below with
Hello,
I have a dataframe in R that looks like the following
cluster id period u_3 timeID startTrt Ijterror y
1: 1 1 0 -1.26 11 0 1.2015 17.809
2: 1 2 0 -1.26 11 0 -1.6577 14.950
3: 1 3 0 -1.26 11 0
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