A dataset containing simulated data where the binary outcome depends quadratically on a partially observed covariate.
A data frame with 1000 rows and 5 variables:
Fully observed covariate, with linear effect on outcome (on log odds scale)
Partially observed normally distributed covariate, with quadratic effect on outcome (on log odds scale)
The square of x, which thus has missing values also
An auxiliary variable (i.e. not contained in the substantive model)
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