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st: Expert Opinion - An alternative to rndbin

From   [email protected]
To   [email protected]
Subject   st: Expert Opinion - An alternative to rndbin
Date   Sun, 23 Sep 2007 22:17:26 -0300 (BRT)

Dear Statalisters and Stata experts,

I would like to know your expert opinion about a faster approach to
generate binomial random numbers using Stata. I wish to know if the
approach below is valid and if it makes some sense.

Well, for example, assume we have _N=1. Then, we have 25000 observations
and p= 0.25, which is the probability of the event. -rndbin- is quite

rndbin 25000 0.25 1
qui count if xb==1

However, I have to run -rndbin- millions of times, say, 10^15 times, count
the number of events (xb=1) and then summarize it to get a new variable.
That approach takes a lot of time and even using Mata functions this is

Taking statistical aspects of the binomial distribution into account, may
I approximate that calculation using the following approach?

p = 0.25
observations = 25000
sd_of_p_hat = standard deviation of the p_hat

gene sd_of_p_hat= sqrt(((p)*(1-p))/(observations))
generate z = invnorm(uniform())
replace p = (z)*(sd_of_p_hat)+(p)
gene number_of_events= round(p*observations)

The latter approach is really faster (2-3 seconds for 100000 studies,
whereas -rndbin- are likely to take some hours, at least in my PC) and it
is likely to be unbiased for p�s between 0.3 and 0.7, the range I have to
work with in Human Genetics.

I will again grateful for any help and comments.

Best regards,


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