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Re: st: RE: Multilevel survival analysis


From   Katie Brooks Biello <katie.biello@yale.edu>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: RE: Multilevel survival analysis
Date   Tue, 15 Feb 2011 14:12:09 -0500

Maria, thank you. I have already looked into gllamm and will continue to consider it.

Amir, thanks for these suggestions. I just discovered the shared option. This would allow me to include a random intercept but not any other random effects. This may be sufficient but I'm not quite sure yet. I think the Poisson model might be the next best thing if I decide that I need to incorporate random effects beyond the random intercept. Just to clarify - translating to Poisson from survival terminology, the dependent variable would be my censor variable and the offset would be my time variable (or log of time), right?

Thanks again.

Katie Brooks Biello, MPH
PhD Candidate
Yale University
School of Epidemiology and Public Health




On Feb 14, 2011, at 2:47 PM, Figueroa Armijos, Maria Augusta (MU- Student) wrote:

Hi Katie,

I am not an expert on survival analysis, but I can help a bit from one experience I had on a project with survival analysis in Stata 11. In the end, I gave up because even though my dataset was big (12,000 obs), it had too many missing values and most of the variables were dummies. I couldn't use HLM because of the missing values, so I tried Stata.

I used xt set and then xtmelogit, options. This command took ages to perform because of my missing values and dummy variables. The longest time I waited was 9 hours. It ran more than 16,000 iterations. If you have continuous variables, you could get it to run.

Because xtmelogit didn't work for me, I used -gllam- (user created) http://www.gllamm.org/ This one worked, and I got the results I needed. The website has books and tutorials you can take.

Good luck!
Maria
PhD Student
Community Policy Analysis Center (CPAC)
Truman School of Public Affairs

-----Original Message-----
From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu ] On Behalf Of Katie Brooks Biello
Sent: Monday, February 14, 2011 1:30 PM
To: statalist@hsphsun2.harvard.edu
Subject: st: Multilevel survival analysis

Hi -
I am using Stata/SE 11.1 for Windows (32-bit). I have multilevel data
where individuals are nested in metropolitan areas (MAs). I have a
time-to-event outcome, and want to estimate the effect of an MA-level
variable on this time-to-event outcome, controlling for other MA-level
variables and individual-level variables. In other words, I am hoping
to do the survival equivalent of HLM. It is my understanding that
Stata 11 can perform multilevel survival analysis but I can not find
direct guidance on what commands are used and how this is performed.
Does anyone have experience with this? Can you offer up the code
necessary to run this?

Thank you,

Katie Brooks Biello, MPH
PhD Candidate
Yale University
School of Epidemiology and Public Health




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