R: st: RE: Cox regression for grouped survival data

["enzo.coviello@tin.it" <enzo.coviello@tin.it>]

Hi Pradip,

thanks for further reference.

I believe that the approach suggested by Steve may be applied to this 
situation (the work of prof. Jenkins in this field is precious), but in 
strict sense it is a parametric approach.

The approach followed by Feuer and al. should be semiparametric, that 
is a Cox-like model. 



Enzo





----Messaggio originale----

Da: Pradip.Muhuri@samhsa.hhs.gov

Data: 8-ago-2013 15.23

A: "statalist@hsphsun2.harvard.edu"<statalist@hsphsun2.harvard.edu>

Ogg: st: RE: Cox regression for grouped survival data



Hello,



The following article has also used Cox regression for grouped survival 
analysis of the NHIS-Linked Mortality Public Use Data Files.



"21st-Century Hazards of Smoking and Benefits of Cessation in the 
United Stateshttp://www.nejm.org/doi/full/10.1056/NEJMsa1211128#t=articleMethods



Recently, Steve Samuels (StataList) has suggested to me that I use 
complementary log log models (-cloglog-) for my analysis of the same 
data (mentioned above) but for a different topic. 



The following is from Steve, " see the Lesson 6 link to discrete data 
analysis on Stephen Jenkins's fine web page "Survival analysis with 
Stata""

(http://www.iser.essex.ac.uk/survival-analysis).



Thanks,

Pradip


Pradip K. Muhuri, PhD
SAMHSA/CBHSQ
1 Choke Cherry Road, Room 2-1071
Rockville, MD 20857
Tel: 240-276-1070
Fax: 240-276-1260

-----Original Message-----
From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-
statalist@hsphsun2.harvard.edu] On Behalf Of enzo.coviello@tin.it

Sent: Thursday, August 08, 2013 3:26 AM

To: statalist@hsphsun2.harvard.edu

Subject: st: Cox regression for grouped survival data



Dear Stata Users,



recently,for developping the Cancer Surveillance Query System, Feuer 
and coll. of the NCI used a Cox Regression for Grouped survival data 
(Cancer. 2012 Nov 15;118(22):5652-62. doi: 10.1002/cncr.27615. Epub

2012 May 8).







Cox model can be sensitive to tied survival times and often we know 
only the number of events occurring within time intervals. 



Often we can read that Cox model is really suitable for data where time 
is continuous.







I would ask further addresses on this topic and mainly if exists a 

Stata command-resource to fit  a Cox regression for grouped survival 

data.







Many thanks.







Enzo





^^^^^^^^^^^^^^^^

Enzo Coviello

Unita' di Statistica ed Epidemiologia ASL BARI

piazza Vittorio Emanuele, 14

70054 - GIOVINAZZO (BA)

Italy

tel. fax +39 080 3357883

tel (home) +39 0883 695055

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