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:¶

ax : AxesSubplot, optional¶: If ax is provided, then the plot will be added to it.
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.
use_exp : bool¶: 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.
ax=None¶: If given, this axes is used to plot in instead of a new figure being created.
kwds : optional keyword arguments¶: Keywords are forwarded to the dot_plot function that creates the plot.

Returns:¶

fig

Return type:¶

Matplotlib figure instance