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Re: st: Cox proportional hazard model


From   Nyasha Tirivayi <ntirivayi@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Cox proportional hazard model
Date   Fri, 13 Aug 2010 00:06:38 +0200

Dear Maarten

Thanks for clarifying. Now I understand. I had this wrong. In that
case I think I need to ask for ideas for alternative method since I do
not have data on employment/unemployment spells.

I have realized that I have 2 period panel data on employment status.
So I have employment1 and employment2. I am interested in seeing the
effects of AIDS medication  on transitions from one state to another.

I also have another treatment variable- food aid. So you have some
households where a patient is on AIDS medication and household
receives food assistance. If I choose instead to look at the effect of
 food assistance ( meaning all households in analysis will now have a
patient on AIDS medication), what kind of transition analysis can I
do.. or maybe I should simply carry out multiple regression analysis
or propensity score matching?

Kindly advise

Regards

Nyasha Tirivayi
Maastricht University

On Thu, Aug 12, 2010 at 11:56 PM, Maarten buis <maartenbuis@yahoo.co.uk> wrote:
> --- On Thu, 12/8/10, Nyasha Tirivayi wrote:
>> So the duration of the AIDS medication taken by the patient
>> is the time variable, and getting employed/returning to work
>> is the event
>
> The time variable and the event are not two separate concepts,
> the duration is the time till the event occurs. When you look
> at time till employment, then starting AIDS medication is not
> the beginning of a spell, leaving the labor market, leaving
> school, becoming unemployed, are the beginning of the spell.
> Whether or not the patient takes AIDS medication is your
> explanatory variable, not your explained variable.
>
> Hope this helps,
> Maarten
>
> --------------------------
> Maarten L. Buis
> Institut fuer Soziologie
> Universitaet Tuebingen
> Wilhelmstrasse 36
> 72074 Tuebingen
> Germany
>
> http://www.maartenbuis.nl
> --------------------------
>
>
>
>
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