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st: maximum likelihood inference for left censored exposure variable


From   "Floud, Sarah" <s.floud07@imperial.ac.uk>
To   "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Subject   st: maximum likelihood inference for left censored exposure variable
Date   Wed, 23 Jun 2010 18:05:41 +0100

Using maximum likelihood inference for left-censored exposure variables:

For an epidemiological study, I have exposure data (noise exposure) which is left-censored, with about 10% of cases set to a limit of detection (LOD). I am currently using logistic regression to estimate the effect of the noise exposure on the health outcomes. But I would like to be able to infer values below the LOD for the exposure variable.
 
A method proposed by:
Cole et al 2009 ("Estimating the odds ratio when exposure has a limit of detection" International Journal of Epidemiology 2009 1-7 doi: 10.1093/ije/dyp269) and by:
Lynn, H.S. 2001 ("Maximum likelihood inference for left-censored HIV RNA data" Statistics in Medicine 2001; 20:33-45) 
is to use maximum likelihood inference for the values set at the LOD instead of using other methods such as setting all at the LOD or LOD/2 etc.

I would like to know if there is a way to do this in STATA without having to program it myself, as I think that would be beyond me. I currently have STATA IC 10.

Thank you for your consideration.

Sarah Floud




Sarah Floud
Faculty of Medicine
Imperial College London
St Mary's Campus, Norfolk Place
LONDON W2 1PG





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