statsmodels.stats.meta_analysis.CombineResults.summary_frame

CombineResults.summary_frame(alpha=0.05, use_t=None)

Create DataFrame with sample statistics and mean estimates

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:

resDataFrame

pandas DataFrame instance with columns [‘eff’, “sd_eff”, “ci_low”, “ci_upp”, “w_fe”,”w_re”]. Rows include statistics for samples and estimates of overall mean.