statsmodels.stats.meta_analysis.effectsize_smd¶
- statsmodels.stats.meta_analysis.effectsize_smd(mean1, sd1, nobs1, mean2, sd2, nobs2)[source]¶
effect sizes for mean difference for use in meta-analysis
mean1, sd1, nobs1 are for treatment mean2, sd2, nobs2 are for control
Effect sizes are computed for the mean difference
mean1 - mean2
standardized by an estimate of the within variance.This does not have option yet. It uses standardized mean difference with bias correction as effect size.
This currently does not use np.asarray, all computations are possible in pandas.
- Parameters:
- mean1
array
mean of second sample, treatment groups
- sd1
array
standard deviation of residuals in treatment groups, within
- nobs1
array
number of observations in treatment groups
- mean2, sd2, nobs2
arrays
mean, standard deviation and number of observations of control groups
- mean1
- Returns:
- smd_bc
array
bias corrected estimate of standardized mean difference
- var_smdbc
array
estimate of variance of smd_bc
- smd_bc
Notes
Status: API will still change. This is currently intended for support of meta-analysis.
References
- Borenstein, Michael. 2009. Introduction to Meta-Analysis.
Chichester: Wiley.
- Chen, Ding-Geng, and Karl E. Peace. 2013. Applied Meta-Analysis with R.
Chapman & Hall/CRC Biostatistics Series. Boca Raton: CRC Press/Taylor & Francis Group.