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Identifying treatment response subgroups in observational time-to-event data

6 August 2024

Papers citing "Identifying treatment response subgroups in observational time-to-event data"

21 / 21 papers shown

Title
Neural Fine-Gray: Monotonic neural networks for competing risks Vincent Jeanselme Changwon Yoon Brian D. M. Tom Jessica Barrett 47 8 0 11 May 2023
Recovering Sparse and Interpretable Subgroups with Heterogeneous Treatment Effects with Censored Time-to-Event Outcomes Chirag Nagpal Vedant Sanil A. Dubrawski CML 69 1 0 24 Feb 2023
Causal Machine Learning for Healthcare and Precision Medicine Pedro Sanchez J. Voisey Tian Xia Hannah I. Watson Alison Q. OÑeil Sotirios A. Tsaftaris OOD CML 98 125 0 23 May 2022
auton-survival: an Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event Data Chirag Nagpal Willa Potosnak A. Dubrawski CML OOD 128 24 0 15 Apr 2022
Counterfactual Phenotyping with Censored Time-to-Events Chirag Nagpal Mononito Goswami K. Dufendach A. Dubrawski CML 71 27 0 22 Feb 2022
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data Alicia Curth Changhee Lee M. Schaar CML 79 30 0 26 Oct 2021
Survival Regression with Proper Scoring Rules and Monotonic Neural Networks David Rindt Robert Hu D. Steinsaltz Dino Sejdinovic 191 38 0 26 Mar 2021
Deep Cox Mixtures for Survival Regression Chirag Nagpal Steve Yadlowsky Negar Rostamzadeh Katherine A. Heller CML 170 62 0 16 Jan 2021
Estimating heterogeneous survival treatment effect in observational data using machine learning Liangyuan Hu Jiayi Ji Fan Li CML 94 67 0 17 Aug 2020
Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data with Competing Risks Chirag Nagpal Xinyu Li A. Dubrawski OOD 165 123 0 02 Mar 2020
Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks Ioana Bica James Jordon M. Schaar CML 90 106 0 27 Feb 2020
Targeted Estimation of Heterogeneous Treatment Effect in Observational Survival Analysis Jie Zhu B. Gallego CML 91 29 0 20 Oct 2019
Intensity-Free Learning of Temporal Point Processes Oleksandr Shchur Marin Bilos Stephan Günnemann AI4TS 95 172 0 26 Sep 2019
Adapting Neural Networks for the Estimation of Treatment Effects Claudia Shi David M. Blei Victor Veitch CML 174 376 0 05 Jun 2019
Interpretable Subgroup Discovery in Treatment Effect Estimation with Application to Opioid Prescribing Guidelines Chirag Nagpal Dennis L. Wei B. Vinzamuri Monica Shekhar Sara E. Berger Subhro Das Kush R. Varshney CML 65 25 0 08 May 2019
Efficient Discovery of Heterogeneous Quantile Treatment Effects in Randomized Experiments via Anomalous Pattern Detection E. McFowland S. Somanchi Daniel B. Neill 32 1 0 24 Mar 2018
Causal Rule Sets for Identifying Subgroups with Enhanced Treatment Effect Tong Wang Cynthia Rudin CML BDL 97 27 0 16 Oct 2017
Causal Effect Inference with Deep Latent-Variable Models Christos Louizos Uri Shalit Joris Mooij David Sontag R. Zemel Max Welling CML BDL 242 750 0 24 May 2017
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 347 730 0 12 May 2016
Estimation and Inference of Heterogeneous Treatment Effects using Random Forests Stefan Wager Susan Athey SyDa CML 414 2,506 0 14 Oct 2015
Recursive Partitioning for Heterogeneous Causal Effects Susan Athey Guido Imbens CML 332 1,442 0 05 Apr 2015