avg_RR_logit: An Average of the Log Odds Ratio
In ciccr: Causal Inference in Case-Control Studies

Description Usage Arguments Value References Examples

Averages the log odds ratio using retrospective logistic regression.

1	avg_RR_logit(y, t, x, w = "control")

`y`	n-dimensional vector of binary outcomes
`t`	n-dimensional vector of binary treatments
`x`	n by d matrix of covariates
`w`	'case' if the average is conditional on the case sample; 'control' if it is conditional on the control sample default w = 'control'

An S3 object of type "ciccr". The object has the following elements.

`est`	a scalar estimate of the weighted average of the log odds ratio using retrospective logistic regression
`se`	standard error

Jun, S.J. and Lee, S. (2020). Causal Inference in Case-Control Studies. https://arxiv.org/abs/2004.08318.

# use the ACS_CC dataset included in the package
  y = ciccr::ACS_CC$topincome
  t = ciccr::ACS_CC$baplus
  x = ciccr::ACS_CC$age
# use 'case' to condition on the distribution of covariates given y = 1
  results = avg_RR_logit(y, t, x, 'case')