causens

Why is it that more shark attacks occur when more ice cream is sold? The answer: both are related to the weather, here an unmeasured confounder.

Overview

causens is an R package that will allow to perform various sensitivity analysis methods to adjust for unmeasured confounding within the context of causal inference.

Installation

install.packages("devtools")
library(devtools)
devtools::install_github("Kuan-Liu-Lab/causens")
library(causens)

Quickstart

library(causens)

# Simulate data
data <- simulate_data(N = 10000, seed = 123, alpha_uz = 1,
                      beta_uy = 1, treatment_effects = 1)

# Posit incorrect treatment model since U is "missing"
trt_model <- glm(Z ~ X.1 + X.2 + X.3, data = data, family = binomial())

# Frequentist sensitivity analysis
causens(trt_model, data, "Z", "Y", method = "Li", c1 = 0.25, c0 = 0.25)

Citing

Please cite our software using:

@Manual{,
  title = {causens: Perform causal sensitivity analyses using various statistical methods},
  author = {Larry Dong and Yushu Zou and Kuan Liu},
  year = {2024},
  note = {R package version 0.0.1, https://github.com/Kuan-Liu-Lab/causens},
  url = {https://kuan-liu-lab.github.io/causens/},
}

Getting help

Please report bugs by opening an issue. If you have a question regarding the usage of causens, start a discussion.