'A confidence interval for the pooled log odds ratio.
Parameters
alpha : float
`1 - alpha` is the nominal coverage probability of the
interval.
method : string
The method for producing the confidence interval.  Currently
must be \'normal\' which uses the normal approximation.
Returns
lcb : float
The lower confidence limit.
ucb : float
The upper confidence limit.'

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)
