I will take an example to explain what have prevented me from doing
an estimate.
the form of data I receive can be described as the following table:
GENE I GENE II
study Type AA AG GG TT TG GG
1 case c11 c12 c13 k11 k12 k13
control t11 t12 t13 l11 l12 l13
2 case...
cnotrol...
First of all, HWE(Hardy-Weinberg Equilibrium) should be checked. But
in this case, the Chi-2 statistic of study 2(GENE I control ONLY) is
7.3, almost 3 times of chi-2(90%)=2.7. This is rather strange. (Maybe
the missing data do effects the result greatly.)
Besides, as most researchers do, I use Q-statistic to do a test about
the heterogeneity of the two study in my work. But Q-statistic is not
a good choice when the numer of study is too small.
These days I am trying to use Random Effects Model to finish my
thesis. I hope it can work. Can someone give a sugguestion?
Yifan Yang
yyf1986@[EMAIL PROTECTED]
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