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 options 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:
mean1array_like

Mean of first sample, treatment groups.

sd1array_like

Standard deviation of residuals in treatment groups, within.

nobs1array_like

Number of observations in treatment groups.

mean2, sd2, nobs2array_like

Mean, standard deviation and number of observations of control groups.

Returns:
smd_bcarray

Bias corrected estimate of standardized mean difference.

var_smdbcarray

Estimate of variance of 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.