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
None
ormatplotlib
axis
instance
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_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.
- ax
AxesSubplot
,optional
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.
- ax
- Returns:
- fig
Matplotlib
figure
instance
- fig
See also
dot_plot