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 : float in (0, 1)¶

Significance level for confidence interval. Nominal coverage is 1 - alpha.

use_t : None 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_fe (tuple of floats) – Confidence interval for mean effects size based on fixed effects model with scale=1.

• ci_eff_re (tuple of floats) – Confidence interval for mean effects size based on random effects model with scale=1

• ci_eff_fe_wls (tuple of floats) – Confidence interval for mean effects size based on fixed effects model with estimated scale corresponding to WLS, ie. HKSJ.

• ci_eff_re_wls (tuple 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.