statsmodels.stats.meta_analysis.CombineResults.conf_int_samples¶

CombineResults.conf_int_samples(alpha=0.05, use_t=None, nobs=None, ci_func=None)[source]¶

confidence intervals for the effect size estimate of samples

Additional information needs to be provided for confidence intervals that are not based on normal distribution using available variance. This is likely to change in future.

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.

nobs : None or float¶

Number of observations used for degrees of freedom computation. Only used if use_t is true.

ci_func : None or callable¶

User provided function to compute confidence intervals. This is not used yet and will allow using non-standard confidence intervals.

Returns:¶

ci_eff – Tuple (ci_low, ci_upp) with confidence interval computed for each sample.

Return type:¶

tuple of ndarrays

Notes

CombineResults currently only has information from the combine_effects function, which does not provide details about individual samples.