def log_riskratio_pvalue(self, null=0):

        zscore = (self.log_riskratio - null) / self.log_riskratio_se
        pvalue = 2 * stats.norm.cdf(-np.abs(zscore))
        return pvalue
Clones the art object.
dataset/ETHPy150Open statsmodels/statsmodels/statsmodels/stats/contingency_tables.py/Table2x2.log_riskratio_pvalue--crossover with--dataset/ETHPy150Open ContinuumIO/ashiba/enaml/enaml/wx/wx_upstream/aui/tabart.py/ChromeTabArt.Clone