Convert binary traits to liabilities for low prevalence

Source: R/binary_to_liability.R

This function implements an approximate conversion of binary traits to liabilties as proposed in the LT-MAPIT model (Crawford and Zhou 2018, https://doi.org/10.1101/374983). Note that this is only good for low prevalence. To run LT-MAPIT (MAPIT on case-control traits), convert the binary traits to liabilities using this function and pass the liabilities to mvmapit as trait.

binary_to_liability(case_control_trait, prevalence)

Arguments

case_control_trait

Case-control trait encoded as binary trait with 0 as control or 1 as case.

prevalence

Case prevalence between 0 and 1. Proportion of cases in the population.

Value

A trait vector of same length as y with case-control indicators converted to liabilties.