# Missing-value Fisher-z test

Perform a testwise-deletion Fisher-z independence test to data sets with missing values. With testwise-deletion, the test makes use of all data points that do not have missing values for the variables involved in the test.

## Usage

```
from causallearn.utils.cit import mv_fisherz
p = mv_fisherz(mvdata, X, Y, condition_set)
```

## Parameters

**mvdata**: numpy.ndarray, shape (n_samples, n_features). Data with missing value, where n_samples is the number of samples
and n_features is the number of features.

**X, Y and condition_set**: column indices of data.

## Returns

**p**: the p-value of the test.