statsmodels.stats.meta_analysis.CombineResults

class statsmodels.stats.meta_analysis.CombineResults(**kwds)[source]

Results from combined estimate of means or effect sizes

This currently includes intermediate results that might be removed

Methods

conf_int([alpha, use_t])

confidence interval for the overall mean estimate

conf_int_samples([alpha, use_t, nobs, ci_func])

confidence intervals for the effect size estimate of samples

plot_forest([ax])

Forest plot with means and confidence intervals

summary_array([alpha, use_t])

Create array with sample statistics and mean estimates

summary_frame([alpha, use_t])

Create DataFrame with sample statistics and mean estimates

test_homogeneity()

Test whether the means of all samples are the same

Methods

conf_int([alpha, use_t])

confidence interval for the overall mean estimate

conf_int_samples([alpha, use_t, nobs, ci_func])

confidence intervals for the effect size estimate of samples

plot_forest([ax])

Forest plot with means and confidence intervals

summary_array([alpha, use_t])

Create array with sample statistics and mean estimates

summary_frame([alpha, use_t])

Create DataFrame with sample statistics and mean estimates

test_homogeneity()

Test whether the means of all samples are the same