[R] Simulating Case Control Data
tlumley at u.washington.edu
Tue Dec 11 16:57:10 CET 2007
On Mon, 10 Dec 2007, R. W. wrote:
> Dear R-Help-List,
> I was wondering if anyone had experience simulating
> case-control data in R?
I think the only simple method that allows you to specify any arbitrary
population distribution of predictors and does not rely on the logistic
regression model being true is to simulate cohorts and then take a
case-control sample from each one
Eg for a case-control sample of 500 cases and 1000 controls where there is
about a 1% cumulative incidence
1. Generate all your predictor variables for a cohort of 50,000 people,
from any distributions you want
2. Specify the disease model. This could be logistic
logit(p(Y=1))=eta = b0+b1x1+b2x2+...
p = exp(eta)/(1+exp(eta))
or it could be anything else.
3. Now sum(p) gives the expected number of cases. Adjust b0 so that this
is a bit bigger than your desired number, eg 550.
4. Generate Y for the population by rbinom(50000,1,p)
5. Choose 500 cases and 1000 controls using sample().
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