Combines p-values from repeat measurements into a single p-value.
the_p_values: a list of p-values.
method: String. ‘z’|’fisher’. ‘z’ for using the weighted z-score. ‘fisher’ for using fisher’s combined probability test.
default_quantile: Float. Only used for z method. The quantile to use when the software’s normal inverse cdf(p-value) is infinite
Calculate the error-weighted mean and standard deviation.
the_means: A list or numpy array of floats.
the_stds: A list or numpy array of floats.
Adjusts the p-values in a list for multiple hypothesis testing.
the_p_values: a list of p-values
correction_method: String. ‘bh’|’by’|’bonferroni’. ‘bh’ for Benjamini & Hochberg, ‘by’ for Benjamini & Yekuieli, and ‘bonferroni’ for Bonferroni.
NOTE: ‘bh’ and ‘by’ require R and rpy2 installed