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Re: st: CI95% proportion data correlated clustered


From   Marcos Vinicius <[email protected]>
To   [email protected]
Subject   Re: st: CI95% proportion data correlated clustered
Date   Fri, 21 Feb 2014 09:45:45 -0800

Dear Prof. Ronan
Thanks for the reply.
Please ignore the term incident .The aim is only describe the occurrence of a binary
variable  where we can have more than 1 observation per subject(for some subjects). I would like to know 
a Stata code that could take into account multiple observations when representing a single proportion .(cluster data)
Regards
Vinicius

> -----Original Message-----
> From: [email protected]
> Sent: Fri, 21 Feb 2014 17:13:02 +0000
> To: [email protected]
> Subject: Re: st: CI95% proportion data correlated clustered
> 
> 
> Prof. Ronan Conroy
> Associate Professor of Biostatistics
> 
> 
> RCSI Department of Epidemiology and Public Health Medicine
> Royal College of Surgeons in Ireland
> Lower Mercer Street, Dublin 2, Ireland
> T: 01-402-2431
> E: [email protected]  W: www.rcsi.ie
> 
> RCSI DEVELOPING HEALTHCARE LEADERS
> WHO MAKE A DIFFERENCE WORLDWIDE
> On 2014 Feabh 20, at 19:44, Marcos Vinicius wrote:
> 
>> Hello,
>> 
>> 
>> I have a dataset where can be possible that I subject have more than one
>> reported trauma
>> incident . .(example below). I would like only to describe the binary
>> event (trauma) taking into
>> account the correlated data(cluster).
>> I am a Stata beginner . Does anyone know a stata code to conduct that
>> analysis?
>> ID    trauma
>> 1     1
>> 1     0
>> 1     1
>> 1     0
>> 1     1
>> 2     0
>> 2     0
>> 2     1
>> 2     1
>> 3       0
>> 4       1
>> 
> 
> 
> I seems to me that you are recording the incidence density of trauma,
> rather than the cumulative incidence – the data look like repeated
> observation periods on each participant. If this is the case, then the
> incidence density entails summing the events and summing the periods of
> observation, so that each participant is represented by two variables:
> number of events, and number of periods.
> 
> r
> 
> 
>> 
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> 
> Ronán Conroy
> [email protected]
> Associate Professor
> Division of Population Health Sciences
> Royal College of Surgeons in Ireland
> Beaux Lane House
> Dublin 2
> 
> 
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