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RE: st: Parametric survival analysis with competing risks


From   Cameron McIntosh <cnm100@hotmail.com>
To   STATA LIST <statalist@hsphsun2.harvard.edu>
Subject   RE: st: Parametric survival analysis with competing risks
Date   Sat, 28 Apr 2012 16:27:46 -0400

Enzo,
I also suggest you take a look at:

Andersen, P.K., Geskus, R.B., de Witte, T., & Putter, H. (2012). Competing risks in epidemiology: possibilities and pitfalls.International Journal of Epidemiology, Advance Access.http://ije.oxfordjournals.org/content/early/2012/01/08/ije.dyr213.abstracthttp://192.38.117.59/~pka/avepi11/Research_Report_11-2.pdf

Dignam, J.T., Zhang, Q., & Kocherginsky, M. (2012). The Use and Interpretation of Competing Risks Regression Models.Clinical Cancer Research, 18, 2301-2308.

Dignam, J.T., & Kocherginsky, M. (2008). Choice and Interpretation of Statistical Tests Used When Competing Risks Are Present. Journal of Clincial Oncology, 26(24), 4027-4034. 

Fine, J. P., & Gray, R.J. (1999). A proportional hazards model for the subdistribution of a competing risk. Journal of theAmerican Statistical Association, 94(446), 496-509.

Gichangi, A., & Vach, W. (2005). The analysis of competing risks data: a guided tour. Statistics in Medicine, 132(4), 1-41.

Lambert, P. C., Dickman, P. W., Nelson, C. P., & Royston, P. (2010). Estimating the crude probability of death due to cancerand other causes using relative survival models. Statistics in Medicine, 29(7-8), 885-895.

Williamson, P. R.,  Kolamunnage-Dona, R., & Smith, C.T. (2007). The influence of competing-risks setting on the choice of hypothesis test for treatment effect.  Biostatistics, 8(4), 689-694.http://biostatistics.oxfordjournals.org/content/8/4/689.full

Putter, H., Fiocco, M., & Geskus, R.B. (2007). Tutorial in biostatistics: competing risks and multi-state models. Statistics inMedicine, 26(11), 2389-2430.http://web.inter.nl.net/users/rgeskus/CompRisk.pdf

Cam

> Date: Sat, 28 Apr 2012 11:16:48 +0200
> From: enzo.coviello@tin.it
> To: statalist@hsphsun2.harvard.edu
> Subject: st: Parametric survival analysis with competing risks
> 
> Dear Paul,
> 
> In fact, since posting, I have read around&  done some web searches&  realised that survival analysis with competing risks is not so different from ordinary survival analysis, which answers my immediate problem .  The same regression methods and software can apparently be used.  It is only necessary to treat the subjects with competing events (women undergoing induction or C/S) as censored at the end of the study period.
> 
> 
> I believe that ordinary survival regression can be applied to competing 
> risks situation if observations are appropriately weighted (Geskus, 
> Biometrics 2011 67, 39–49).
> Unfortunately the very interesting approach proposed in the paper is not 
> currently available within Stata.
> 
> Let me know if I should change this not encouraging point of view.
> Best wishes.
> 
> Enzo
> 
> 
> -- 
> Enzo Coviello
> Epidemiology Unit - Cancer Registry ASL BT
> Piazza Umberto 1
> 76121 BARLETTA (BT)
> Italy
> mobile +39 347 5016016
> tel +39 0883 577329
> fax +39 0883 577288
> Home +39 0883 695055
> 
> 
> -- 
> Enzo Coviello
> Epidemiology Unit - Cancer Registry ASL BT
> Piazza Umberto 1
> 76121 BARLETTA (BT)
> Italy
> mobile +39 347 5016016
> tel +39 0883 577329
> fax +39 0883 577288
> Home +39 0883 695055
> 
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