avg_RR_logit: An Average of the Log Odds Ratio

In ciccr: Causal Inference in Case-Control and Case-Population Studies

An Average of the Log Odds Ratio

Description

Averages the log odds ratio using retrospective logistic regression.

Usage

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

Arguments

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; 'all' if it is based on the whole sample; default w = 'control'

Value

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

References

Jun, S.J. and Lee, S. (2023). Causal Inference under Outcome-Based Sampling with Monotonicity Assumptions. https://arxiv.org/abs/2004.08318.

Examples

# 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')

ciccr documentation built on Oct. 21, 2023, 1:08 a.m.