PCL - Proximal Causal Learning
We fit causal models using proxies. We implement two stage proximal least squares estimator. E.J. Tchetgen Tchetgen, A. Ying, Y. Cui, X. Shi, and W. Miao. (2020). An Introduction to Proximal Causal Learning. arXiv e-prints, arXiv-2009 <arXiv:2009.10982>.
Last updated 4 years ago
2.87 score 1 stars 74 scripts 149 downloadstsriadditive - Two Stage Residual Inclusion Additive Hazards Estimator
Programs for A.Ying, R. Xu and J. Murphy. 'Two-Stage Residual Inclusion under the Additive Hazards Model - An Instrumental Variable Approach with Application to SEER-Medicare Linked Data.' Statistics in Medicine, to appear, 2018.
Last updated 6 years ago
2.00 score 120 downloadsivsacim - Structural Additive Cumulative Intensity Models with IV
An instrumental variable estimator under structural cumulative additive intensity model is fitted, that leverages initial randomization as the IV. The estimator can be used to fit an additive hazards model under time to event data which handles treatment switching (treatment crossover) correctly. We also provide a consistent variance estimate.
Last updated 3 years ago
1.00 score 1 scripts 191 downloads