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:

alphafloat in (0, 1): Significance level for confidence interval. Nominal coverage is 1 - alpha.
use_tNone or bool: 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.

Returns:

ci_eff_fetuple of floats: Confidence interval for mean effects size based on fixed effects model with scale=1.
ci_eff_retuple of floats: Confidence interval for mean effects size based on random effects model with scale=1
ci_eff_fe_wlstuple of floats: Confidence interval for mean effects size based on fixed effects model with estimated scale corresponding to WLS, ie. HKSJ.
ci_eff_re_wlstuple of floats: Confidence interval 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.