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.