A dataset containing simulated data where the binary outcome depends quadratically on a partially observed covariate.

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A data frame with 1000 rows and 5 variables:

- y
Binary outcome

- z
Fully observed covariate, with linear effect on outcome (on log odds scale)

- x
Partially observed normally distributed covariate, with quadratic effect on outcome (on log odds scale)

- xsq
The square of x, which thus has missing values also

- v
An auxiliary variable (i.e. not contained in the substantive model)

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