Estimate expected vs observed replication of effects between discovery and replication datasets

Taken from Okbay et al 2016. Under the assumption that all discovery effects are unbiased, what fraction of associations would replicate in the replication dataset, given the differential power of the discovery and replication datasets. Uses standard error of the replication dataset to account for differences in sample size and distribution of independent variable

Usage

prop_overlap(b_disc, b_rep, se_disc, se_rep, alpha)

Arguments

b_disc

Vector of discovery betas

b_rep

Vector of replication betas

se_disc

Vector of discovery standard errors

se_rep

Vector of replication standard errors

alpha

Nominal replication significance threshold

Value

List of results

• res: aggregate expected replication rate vs observed replication rate

• variants: per variant expected replication rates