stats.proportion.proportions_chisquare_pairscontrol()

statsmodels.stats.proportion.proportions_chisquare_pairscontrol

statsmodels.stats.proportion.proportions_chisquare_pairscontrol(count, nobs, value=None, multitest_method='hs', alternative='two-sided') [source]

chisquare test of proportions for pairs of k samples compared to control

Performs a chisquare test for proportions for pairwise comparisons with a control (Dunnet’s test). The control is assumed to be the first element of count and nobs. The alternative is two-sided, larger or smaller.

Parameters:

count : integer or array_like the number of successes in nobs trials. nobs : integer the number of trials or observations. prop : float, optional The probability of success under the null hypothesis, 0 <= prop <= 1. The default value is prop = 0.5 multitest_method : string This chooses the method for the multiple testing p-value correction, that is used as default in the results. It can be any method that is available in multipletesting. The default is Holm-Sidak ‘hs’. alternative : string in [‘two-sided’, ‘smaller’, ‘larger’] alternative hypothesis, which can be two-sided or either one of the one-sided tests.

Returns:

result : AllPairsResults instance The returned results instance has several statistics, such as p-values, attached, and additional methods for using a non-default multitest_method.

Notes

Yates continuity correction is not available.

value and alternative options are not yet implemented.