Random-Effects Meta-Analysis of Mash Pairwise Contrasts — meta_analysis_per

For each cell type (condition), gathers all pairwise contrast effect sizes and standard errors involving that cell, then runs a DerSimonian–Laird random-effects meta-analysis per condition. Intended to be run on the output of fit_mash_contrast.

Usage

meta_analysis_per_cell(effect_sizes, se_values, se_cutoff = 0)

Arguments

effect_sizes: Numeric matrix (features x conditions) of contrast effect sizes. Column names must follow the pattern mean_contrast_<cellA>_vs_<cellB>.
se_values: Numeric matrix (features x conditions) of contrast standard errors. Must have the same dimensions and column names as effect_sizes.
se_cutoff: Numeric; minimum SE below which a condition is excluded from the meta-analysis for a given feature (default 0).

Value

A tibble with columns:

cell: Cell type name.
condition: Original pairwise contrast name (without prefix).
meta_pvalue: P-value from the random-effects meta-analysis.
meta_effect: Pooled absolute effect size estimate.
meta_se: Standard error of the pooled estimate.
tau2: Between-study variance estimate.
I2: Heterogeneity measure (proportion of variance due to between-study variance), in [0, 1].