SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event
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SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data

26 October 2021

Papers citing "SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data"

17 / 17 papers shown

Title
CAST: Time-Varying Treatment Effects with Application to Chemotherapy and Radiotherapy on Head and Neck Squamous Cell Carcinoma Everest Yang Ria Vasishtha Luqman K. Dad Lisa A. Kachnic Andrew Hope Eric Wang Xiao Wu Yading Yuan David J. Brenner Igor Shuryak CML 26 0 0 09 May 2025
Toward a Well-Calibrated Discrimination via Survival Outcome-Aware Contrastive Learning Dongjoon Lee Hyeryn Park Changhee Lee 28 0 0 15 Oct 2024
Towards Representation Learning for Weighting Problems in Design-Based Causal Inference Oscar Clivio Avi Feller Chris Holmes CML OOD 25 3 0 24 Sep 2024
Identifying treatment response subgroups in observational time-to-event data Vincent Jeanselme Chang Ho Yoon Fabian Falck Brian D. M. Tom Jessica Barrett OOD CML 45 0 0 06 Aug 2024
Benchmarking Observational Studies with Experimental Data under Right-Censoring Ilker Demirel E. Brouwer Zeshan Hussain Michael Oberst Anthony Philippakis David Sontag 43 4 0 23 Feb 2024
A Stable and Efficient Covariate-Balancing Estimator for Causal Survival Effects Khiem Pham David A. Hirshberg Phuong-Mai Huynh-Pham Michele Santacatterina Ser-Nam Lim Ramin Zabih 11 1 0 01 Oct 2023
Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time Toon Vanderschueren Alicia Curth Wouter Verbeke M. Schaar 22 14 0 07 Jun 2023
Reliable Off-Policy Learning for Dosage Combinations J. Schweisthal Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel OffRL 24 11 0 31 May 2023
Counterfactual Outcome Prediction using Structured State Space Model Vishal Purohit CML OOD 17 0 0 16 May 2023
Recovering Sparse and Interpretable Subgroups with Heterogeneous Treatment Effects with Censored Time-to-Event Outcomes Chirag Nagpal Vedant Sanil A. Dubrawski CML 26 1 0 24 Feb 2023
Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data Alicia Curth M. Schaar CML 15 3 0 23 Feb 2023
BENK: The Beran Estimator with Neural Kernels for Estimating the Heterogeneous Treatment Effect Stanislav R. Kirpichenko Lev V. Utkin A. Konstantinov CML 19 0 0 19 Nov 2022
Heterogeneous Treatment Effect Estimation for Observational Data using Model-based Forests Susanne Dandl Andreas Bender Torsten Hothorn CML 21 5 0 06 Oct 2022
Counterfactual Phenotyping with Censored Time-to-Events Chirag Nagpal Mononito Goswami K. Dufendach A. Dubrawski CML 22 27 0 22 Feb 2022
To Impute or not to Impute? Missing Data in Treatment Effect Estimation Jeroen Berrevoets F. Imrie T. Kyono James Jordon M. Schaar 25 18 0 04 Feb 2022
BITES: Balanced Individual Treatment Effect for Survival data Stefan Schrod Andreas Schäfer S. Solbrig R. Lohmayer W. Gronwald P. Oefner T. Beissbarth Rainer Spang H. Zacharias Michael Altenbuchinger CML 17 22 0 05 Jan 2022
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 229 719 0 12 May 2016