statsmodels.stats.meta_analysis.CombineResults.conf_int#
- CombineResults.conf_int(alpha=0.05, use_t=None)[source]#
Confidence interval for the overall mean estimate
- Parameters:
- alpha
floatin(0, 1),optional Significance level for confidence interval. Nominal coverage is
1 - alpha.- use_t
Noneor bool,optional If use_t is None, then the attribute use_t determines whether normal or t-distribution is used for confidence intervals. Specifying use_t overrides the attribute. If use_t is false, then confidence intervals are based on the normal distribution. If it is true, then the t-distribution is used.
- alpha
- Returns:
- ci_eff_fe
ndarray Confidence interval (lower, upper) for mean effects size based on fixed effects model with scale=1.
- ci_eff_re
ndarray Confidence interval (lower, upper) for mean effects size based on random effects model with scale=1
- ci_eff_fe_wls
ndarray Confidence interval (lower, upper) for mean effects size based on fixed effects model with estimated scale corresponding to WLS, ie. HKSJ.
- ci_eff_re_wls
ndarray Confidence interval (lower, upper) for mean effects size based on random effects model with estimated scale corresponding to WLS, ie. HKSJ. If random effects method is fully iterated, i.e., Paule-Mandel, then the estimated scale is 1.
- ci_eff_fe