prob_exposure_misc: Computes adjusted OR for given bias parameters

In philliplab/qba: Quantitative Bias Analysis

Description

Computes adjusted OR for given bias parameters

Usage

prob_exposure_misc(ep_op, en_op, ep_on, en_on, n = 5000,
  se_p_dist = list(func = runif, params = list(min = 0.8, max = 1)),
  se_n_dist = list(func = runif, params = list(min = 0.8, max = 1)),
  sp_p_dist = list(func = runif, params = list(min = 0.8, max = 1)),
  sp_n_dist = list(func = runif, params = list(min = 0.8, max = 1)),
  verbose = FALSE, nd_mc = TRUE)

Arguments

ep_op	Number of observations that were exposure positive and outcome positive
en_op	Number of observations that were exposure negative and outcome positive
ep_on	Number of observations that were exposure positive and outcome negative
en_on	Number of observations that were exposure negative and outcome negative
n	The number of simulations to perform
se_p_dist	Distribution of the sensitivity of exposure classification when the subject is outcome positive
se_n_dist	Distribution of the sensitivity of exposure classification when the subject is outcome negative
sp_p_dist	Distribution of the specificity of exposure classification when the subject is outcome positive
sp_n_dist	Distribution of the specificity of exposure classification when the subject is outcome negative
verbose	Should verbose results be produced?
nd_mc	Should the miss-classification be non-discriminative or not?

philliplab/qba documentation built on May 25, 2019, 5:06 a.m.