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2010-05-24
1:1 matched case-control study design,

how to calculate the sample size needed to guarteen alpha=0.05, beta=0.8 in SAS or STATA?

Thanks,
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2010-5-24 01:31:44
sdu0632 发表于 2010-5-24 01:06
1:1 matched case-control study design,

how to calculate the sample size needed to guarteen alpha=0.05, beta=0.8 in SAS or STATA?

Thanks,
It can be done in proc power/proc glmpower. You may refer to the documents for details.

Here is a simple example.

proc power;
      onesamplemeans
         mean   = 0.5
         ntotal = .
         stddev =  1
         power  = 0.9
         alpha  =0.05
        sides=2;
   run;
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2010-5-24 11:04:42
is there any special concern about matched case-control study?

personal quesiton: what do you do in USA? I am still a phd student, using SAS a lot.
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2010-5-24 12:42:41
sdu0632 发表于 2010-5-24 11:04
is there any special concern about matched case-control study?

personal quesiton: what do you do in USA? I am still a phd student, using SAS a lot.
You need a statistic. T test? ChiSq test? Case-control is about the data.
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2010-5-24 23:22:18
chisq test, 2 by 2 table, 1:1 matched case control study.
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2010-5-25 10:39:47
5# sdu0632

In proc power, using twosamplefreq or pairedfreq.
Just for reminding, considering the dependence between pairs, probably McNemar’s Test is more powerful for Matched Case-Control Studies because ChiSq test required independent observations. JingJu
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