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Two-Stage Residual Inclusion under the Additive Hazards Model - An
  Instrumental Variable Approach with Application to SEER-Medicare Linked Data
v1v2 (latest)

Two-Stage Residual Inclusion under the Additive Hazards Model - An Instrumental Variable Approach with Application to SEER-Medicare Linked Data

21 May 2018
Andrew Ying
R. Xu
James Murphy
    CML
ArXiv (abs)PDFHTML

Papers citing "Two-Stage Residual Inclusion under the Additive Hazards Model - An Instrumental Variable Approach with Application to SEER-Medicare Linked Data"

6 / 6 papers shown
Causal Discovery with Generalized Linear Models through Peeling
  Algorithms
Causal Discovery with Generalized Linear Models through Peeling AlgorithmsJournal of machine learning research (JMLR), 2023
Minjie Wang
Xiaotong Shen
Wei Pan
CML
287
0
0
25 Oct 2023
Proximal Survival Analysis to Handle Dependent Right Censoring
Proximal Survival Analysis to Handle Dependent Right Censoring
Andrew Ying
319
13
0
15 Aug 2022
A Robust Instrumental Variable Method Accounting for Treatment Switching
  in Open-Label Randomized Controlled Trials
A Robust Instrumental Variable Method Accounting for Treatment Switching in Open-Label Randomized Controlled Trials
Andrew Ying
57
0
0
27 Apr 2022
Proximal Causal Inference for Marginal Counterfactual Survival Curves
Proximal Causal Inference for Marginal Counterfactual Survival Curves
Andrew Ying
Yifan Cui
E. T. Tchetgen
221
12
0
27 Apr 2022
A nonparametric instrumental approach to endogeneity in competing risks
  models
A nonparametric instrumental approach to endogeneity in competing risks models
Jad Beyhum
J. Florens
Ingrid Van Keilegom
67
2
0
03 May 2021
Estimating Treatment Effect under Additive Hazards Models with
  High-dimensional Covariates
Estimating Treatment Effect under Additive Hazards Models with High-dimensional CovariatesJournal of the American Statistical Association (JASA), 2019
Jue Hou
Jelena Bradic
R. Xu
CML
156
1
0
29 Jun 2019
1
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