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 (arrays) – mean, standard deviation and number of observations of control groups

  • sd2 (arrays) – mean, standard deviation and number of observations of control groups

  • nobs2 (arrays) – mean, standard deviation and number of observations of control groups

Returns:

  • smd_bc (array) – bias corrected estimate of standardized mean difference

  • var_smdbc (array) – 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.