Skip to main content

gapclosing: An R package

References

Bang, Heejung, and James M Robins. 2005. “Doubly Robust Estimation in Missing Data and Causal Inference Models.” Biometrics 61 (4): 962–73.
Bickel, Peter J. 1982. “On Adaptive Estimation.” The Annals of Statistics, 647–71.
Chernozhukov, Victor, Denis Chetverikov, Mert Demirer, Esther Duflo, Christian Hansen, Whitney Newey, and James Robins. 2018. “Double/Debiased Machine Learning for Treatment and Structural Parameters.” The Econometrics Journal 21 (1): C1–68.
Friedman, Jerome, Trevor Hastie, and Robert Tibshirani. 2010. “Regularization Paths for Generalized Linear Models via Coordinate Descent.” Journal of Statistical Software 33 (1): 1–22. https://www.jstatsoft.org/htaccess.php?volume=33&type=i&issue=01.
Glynn, Adam N, and Kevin M Quinn. 2010. “An Introduction to the Augmented Inverse Propensity Weighted Estimator.” Political Analysis, 36–56.
Hahn, Jinyong. 1998. “On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects.” Econometrica, 315–31.
Hernán, Miguel A., and James M. Robins. 2021. Causal Inference: What If. Chapman & Hall/CRC.
Jackson, John W. 2020. “Meaningful Causal Decompositions in Health Equity Research: Definition, Identification, and Estimation Through a Weighting Framework.” Epidemiology 32 (2): 282–90.
Jackson, John W, and Tyler J VanderWeele. 2018. “Decomposition Analysis to Identify Intervention Targets for Reducing Disparities.” Epidemiology 29 (6): 825.
Lundberg, Ian. 2022. “The Gap-Closing Estimand: A Causal Approach to Study Interventions That Close Disparities Across Social Categories.” Sociological Methods and Research. https://doi.org/10.1177/00491241211055769.
Robins, James M, and Andrea Rotnitzky. 1995. “Semiparametric Efficiency in Multivariate Regression Models with Missing Data.” Journal of the American Statistical Association 90 (429): 122–29.
Van der Laan, Mark J, and Sherri Rose. 2011. Targeted Learning: Causal Inference for Observational and Experimental Data. Springer Science & Business Media.
VanderWeele, Tyler J, and Whitney R Robinson. 2014. “On Causal Interpretation of Race in Regressions Adjusting for Confounding and Mediating Variables.” Epidemiology 25 (4): 473.
Wood, Simon N. 2017. Generalized Additive Models: An Introduction with R. Chapman; Hall / CRC.
Wright, Marvin N, and Andreas Ziegler. 2017. “Ranger: A Fast Implementation of Random Forests for High Dimensional Data in c++ and r.” Journal of Statistical Software 77 (i01).