statsmodels.stats.meta_analysis.CombineResults.plot_forest¶

CombineResults.plot_forest(alpha=0.05, use_t=None, use_exp=False, ax=None, **kwds)[source]¶

Forest plot with means and confidence intervals

Parameters:¶

axNone or matplotlib axis instance: If ax is provided, then the plot will be added to it.
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.
use_expbool: If use_exp is True, then the effect size and confidence limits will be exponentiated. This transform log-odds-ration into odds-ratio, and similarly for risk-ratio.
axAxesSubplot, optional: If given, this axes is used to plot in instead of a new figure being created.
kwdsoptional keyword arguments: Keywords are forwarded to the dot_plot function that creates the plot.

Returns:¶