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Questions tagged [frailty]

0 votes
0 answers
34 views

This is a follow-up question from this post: The difference in VIF between frailty model and standard Cox model with robust estimator In my case, I chose to use a frailty model due to high VIF in the ...
doraemon's user avatar
  • 530
2 votes
1 answer
90 views

I am analyzing multicenter datasets using both frailty models and standard Cox models with robust standard errors. For each dataset, the VIF (calculated via rms::vif()) in the frailty models is very ...
doraemon's user avatar
  • 530
1 vote
0 answers
25 views

I'm analyzing multicenter survival data using R's coxme package. My data is in start-stop format after tmerge() for time-varying biomarkers, so each patient has multiple rows (one per time interval) ...
doraemon's user avatar
  • 530
2 votes
1 answer
98 views

I was asked to give a talk on the basics of clustered/longitudinal data with reference to sample size calcs - and therefore will discuss things like the ICC, design effect and actual sample size vs ...
LucaS's user avatar
  • 1,119
0 votes
0 answers
109 views

I’m attempting to fit a shared frailty model using frailtyPenal() from the frailtypack package. My data is interval-censored, with follow-up visits every 6 months over a 3-year period. I assume that ...
s.stats's user avatar
  • 395
6 votes
1 answer
215 views

I have data collected over a 3 year period 6 month intervals aiming to estimate the time to a specific event. We assume that the data is interval censored, meaning that the event occurence is known to ...
s.stats's user avatar
  • 395
1 vote
0 answers
50 views

I want to test the difference in survival probabilities for if every observation in my dataset was part of the frailty group with the worst or best frailty value. I want to calculate the survival ...
Luke Jenner's user avatar
0 votes
1 answer
139 views

In some sources 1 one reads that the frailty model expands on the cox proportional hazards model $$h_i(t|x_i)=h_0(t)\exp(\beta x_i)$$ by adding a frailty term $z$ like so $$h_i(t|x_i,z_i)=h_0(t)\exp(\...
wanderinganon's user avatar
1 vote
1 answer
1k views

Background I'm fitting a Cox model to assess the relationship between treatment (binary) and time-to-event (event is also binary) while also controlling for 3 or 4 covariates. Because I want to ...
logjammin's user avatar
  • 759
1 vote
1 answer
378 views

I'm working on a cox proportional hazard analysis in R using the survival package. I´m analysing covariate effects on fish movement within a study area. The study area is divided into two zones ("...
Mattias's user avatar
  • 11
0 votes
1 answer
107 views

I have a dataset with info on patient exposures (drug 1 / drug 2) and outcomes (hospitalisation / death) over ten years. All patients were prescribed drug 1 on and off over the period (inclusion ...
Joe Schofield's user avatar
4 votes
1 answer
776 views

I'm wondering whether the pool() function from R's mice package correctly pools shared frailty models fitted on multiply imputed ...
schotti's user avatar
  • 620
4 votes
1 answer
339 views

According to Peter Austin (ref. below), in a gamma shared frailty model (i.e. a Cox regression model with cluster specific random effects which are iid logarithms of gamma distributions), the within-...
schotti's user avatar
  • 620
1 vote
1 answer
621 views

I am going to analyse data with multiple recurring events and additional terminal event. The recurrent events are of the same kind, no hierarchy in them (like in the Prentice-Williams-Petersen). The ...
MissDoberty's user avatar
1 vote
1 answer
716 views

I am going to analyse data with multiple recurring events and additional terminal event. The recurrent events are of the same kind, no hierarchy in them (like in the Prentice-Williams-Petersen). The ...
MissDoberty's user avatar

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