Estimating average causal effects from patient trajectories

2 March 2022

Papers citing "Estimating average causal effects from patient trajectories"

22 / 22 papers shown

Title
Beyond the Known: Decision Making with Counterfactual Reasoning Decision Transformer Minh Hoang Nguyen Linh Le Pham Van T. G. Karimpanal Sunil Gupta H. Le OffRL LRM 29 0 0 14 May 2025
Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets Yuxin Wang Maresa Schröder Dennis Frauen J. Schweisthal Konstantin Hess Stefan Feuerriegel CML 67 0 0 16 Dec 2024
Leaning Time-Varying Instruments for Identifying Causal Effects in Time-Series Data Debo Cheng Ziqi Xu Jiuyong Li Lin Liu T. Le Xudong Guo Shichao Zhang CML 67 0 0 26 Nov 2024
Causal machine learning for predicting treatment outcomes Stefan Feuerriegel Dennis Frauen Valentyn Melnychuk J. Schweisthal Konstantin Hess Alicia Curth Stefan Bauer Niki Kilbertus Isaac S. Kohane Mihaela van der Schaar CML 19 88 0 11 Oct 2024
Stabilized Neural Prediction of Potential Outcomes in Continuous Time Konstantin Hess Stefan Feuerriegel 46 0 0 04 Oct 2024
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time Dennis Frauen Konstantin Hess Stefan Feuerriegel 32 5 0 07 Jul 2024
G-Transformer: Counterfactual Outcome Prediction under Dynamic and Time-varying Treatment Regimes Hong Xiong Feng Wu Leon Deng Megan Su Li-wei H. Lehman AI4CE 25 2 0 08 Jun 2024
Causal Contrastive Learning for Counterfactual Regression Over Time Mouad El Bouchattaoui Myriam Tami Benoit Lepetit P. Cournède CML AI4TS 38 2 0 01 Jun 2024
G-Transformer for Conditional Average Potential Outcome Estimation over Time Konstantin Hess Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel 54 2 0 31 May 2024
Consistency of Neural Causal Partial Identification Jiyuan Tan Jose Blanchet Vasilis Syrgkanis CML 32 0 0 24 May 2024
Longitudinal Targeted Minimum Loss-based Estimation with Temporal-Difference Heterogeneous Transformer Toru Shirakawa Yi Li Yulun Wu Sky Qiu Yuxuan Li Mingduo Zhao Hiroyasu Iso Mark van der Laan 36 2 0 05 Apr 2024
Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders Debo Cheng Ziqi Xu Jiuyong Li Lin Liu Jixue Liu Wentao Gao T. Le CML 36 6 0 12 Dec 2023
A Neural Framework for Generalized Causal Sensitivity Analysis Dennis Frauen F. Imrie Alicia Curth Valentyn Melnychuk Stefan Feuerriegel M. Schaar CML 19 10 0 27 Nov 2023
Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation Konstantin Hess Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 27 14 0 26 Oct 2023
Data-Driven Allocation of Preventive Care With Application to Diabetes Mellitus Type II Mathias Kraus Stefan Feuerriegel M. Saar-Tsechansky 28 9 0 14 Aug 2023
Reliable Off-Policy Learning for Dosage Combinations J. Schweisthal Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel OffRL 24 11 0 31 May 2023
Sharp Bounds for Generalized Causal Sensitivity Analysis Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel CML 33 18 0 26 May 2023
Counterfactual Generative Models for Time-Varying Treatments Shenghao Wu Wen-liang Zhou Minshuo Chen Shixiang Zhu DiffM CML 28 6 0 25 May 2023
Normalizing Flows for Interventional Density Estimation Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 45 18 0 13 Sep 2022
Estimating individual treatment effects under unobserved confounding using binary instruments Dennis Frauen Stefan Feuerriegel CML 21 17 0 17 Aug 2022
Causal Transformer for Estimating Counterfactual Outcomes Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel CML 27 91 0 14 Apr 2022
Sequential Deconfounding for Causal Inference with Unobserved Confounders Tobias Hatt Stefan Feuerriegel CML 16 27 0 16 Apr 2021