def logodds_pooled_confint(self, alpha=0.05, method="normal"):

        lor = np.log(self.oddsratio_pooled)
        lor_se = self.logodds_pooled_se

        f = -stats.norm.ppf(alpha / 2)

        lcb = lor - f * lor_se
        ucb = lor + f * lor_se

        return lcb, ucb
This class read a micromed TRC file.
dataset/ETHPy150Open statsmodels/statsmodels/statsmodels/stats/contingency_tables.py/StratifiedTable.logodds_pooled_confint--crossover with--dataset/ETHPy150Open NeuralEnsemble/python-neo/neo/io/micromedio.py/MicromedIO.__init__