statsmodels.stats.meta_analysis.CombineResults.summary_frame¶
-
CombineResults.summary_frame(alpha=
0.05
, use_t=None
)[source]¶ Create DataFrame with sample statistics and mean estimates
- 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.
- alpha
- Returns:¶
- res
DataFrame
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.
- res
Last update:
Oct 29, 2024