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Re: st: imputation of missing dates
From
roland andersson <[email protected]>
To
[email protected]
Subject
Re: st: imputation of missing dates
Date
Tue, 10 May 2011 18:15:09 +0200
And here is another one:
STATISTICS IN MEDICINE
Statist. Med. 2004; 23:3803–3820
Choice of time-scale in Cox’s model analysis of epidemiologic cohort
data: a simulation study
Anne C. M. Thiebaut and Jacques Benichou
Greetings
Roland
2011/5/10 roland andersson <[email protected]>:
> Yulia
>
> I wonder if you made any specific intervention at the examination and
> want to see the effect of this intervention on survival. Otherwise you
> may consider using attained age as analysis time for the survival
> analysis, as there is no exact point in time when the persons came
> under risk or change in risk. In that case you do not need an exact
> date for the start of the analysis.
>
> See some of the references below (I can give you more exact refernce
> if you contact me directly.
>
> Stocks 2010 on prostate cancer
> Qiao 2009 on metabolic syndrome and stroke
> Luo 2008 on pancreas cancer
> Lamarca 1998 attained age survival analysis
> Cheung 2003 survival analysis attained age
>
> Roland Andersson
>
>
> 2011/5/9 Yulia Blomstedt <[email protected]>:
>> Dear Marteen and Carlo, thank you for the valuable advise!
>>
>> Dear Roland, thank you for your input. Unfortunately, we do not know
>> the exact date of the invitation (only the year). One could have
>> calculated it from the date of birth, but we know only the year of
>> birth.
>> We need EXAMDATE for non-participants in order to conduct a survival
>> analysis (we know the exact date of death).
>> My first choice was to calculate the survival from the YEAR when
>> indviduals were invited to participate in the examination. Since, this
>> would result in an inprecise person-time, I tried to explore the
>> possiblity of creating an exact EXAMDATE. After all the received
>> advice, this, however, does not seem as a very good alternative.
>>
>> Sincerely,
>> Yulia
>> *
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>>
>
*
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