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Use this tag for any *on-topic* question that (a) involves `R` either as a critical part of the question or expected answer, & (b) is not *just* about how to use `R`.

3 votes
1 answer
3k views

Cox regression with penalized package in R

My problem is part statistical and part R. I am trying to build a Cox PH model in order to make prediction of unemployment. I have a big dataset, N=32538 with covariates p=37 . … Therefore, I am trying to perform a penalized cox regression, especially with LASSO, using the R package 'penalized'. …
GiannisZ's user avatar
  • 335
2 votes
1 answer
1k views

GEE and GLS. Are they similar?

First of all there is another question about it here, but it has no answers unfortunately...And also here, but it is more general about mixed models and GEE, while my question is more specific... So, …
GiannisZ's user avatar
  • 335
1 vote
0 answers
2k views

Effect plot with lme model

I am building a mixed-effects model with nlme package. The output of the model is as seen below, and includes the time variable, namely day and one categorical variable for treatment with 4 categorie …
GiannisZ's user avatar
  • 335
1 vote
0 answers
1k views

Mediation analysis with 5 Independent variables in R

They use the lavaan package in R. The output i got, is the following : Can somebody please help me interpret this output here ? …
GiannisZ's user avatar
  • 335
1 vote
0 answers
2k views

Power calculation for mixed models

My question has to do (obviously) with how to calculate the required sample size for longitudinal data analysis with mixed models. There is an older post here : Sample size calculation for mixed mode …
GiannisZ's user avatar
  • 335
1 vote
0 answers
115 views

GLMM with many and highly correlated features

Lately I came upon a very interesting project, which also made me thinking since it was the first time for me to work on such data. So, I have 2-level data, with 60 participants having 2-3 measuremen …
GiannisZ's user avatar
  • 335