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Combining Experimental and Observational Data for Identification and
  Estimation of Long-Term Causal Effects

Combining Experimental and Observational Data for Identification and Estimation of Long-Term Causal Effects

26 January 2022
AmirEmad Ghassami
Alan Yang
David Richardson
I. Shpitser
E. T. Tchetgen
    CML
ArXivPDFHTML

Papers citing "Combining Experimental and Observational Data for Identification and Estimation of Long-Term Causal Effects"

12 / 12 papers shown
Title
A Cautionary Tale on Integrating Studies with Disparate Outcome Measures for Causal Inference
A Cautionary Tale on Integrating Studies with Disparate Outcome Measures for Causal Inference
Harsh Parikh
Trang Quynh Nguyen
Elizabeth A. Stuart
Kara E. Rudolph
Caleb H. Miles
CML
17
0
0
16 May 2025
Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning
Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning
Ruichu Cai
Junjie Wan
Weilin Chen
Zeqin Yang
Zijian Li
Peng Zhen
Jiecheng Guo
CML
59
1
0
08 May 2025
Identification and Estimation of Long-Term Treatment Effects with Monotone Missing
Identification and Estimation of Long-Term Treatment Effects with Monotone Missing
Qinwei Yang
Ruocheng Guo
Shasha Han
Peng Wu
26
0
0
28 Apr 2025
Long-term Causal Inference via Modeling Sequential Latent Confounding
Long-term Causal Inference via Modeling Sequential Latent Confounding
Weilin Chen
Ruichu Cai
Yuguang Yan
Zhifeng Hao
José Miguel Hernández-Lobato
CML
84
1
0
26 Feb 2025
Nonparametric Heterogeneous Long-term Causal Effect Estimation via Data Combination
Nonparametric Heterogeneous Long-term Causal Effect Estimation via Data Combination
Weilin Chen
Ruichu Cai
Junjie Wan
Zeqin Yang
José Miguel Hernández-Lobato
58
1
0
26 Feb 2025
Constructing Confidence Intervals for Average Treatment Effects from
  Multiple Datasets
Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets
Yuxin Wang
Maresa Schröder
Dennis Frauen
J. Schweisthal
Konstantin Hess
Stefan Feuerriegel
CML
78
0
0
16 Dec 2024
Combining Incomplete Observational and Randomized Data for Heterogeneous
  Treatment Effects
Combining Incomplete Observational and Randomized Data for Heterogeneous Treatment Effects
Dong Yao
Caizhi Tang
Daixin Wang
Longfei Li
CML
26
0
0
28 Oct 2024
Estimating Long-term Heterogeneous Dose-response Curve: Generalization Bound Leveraging Optimal Transport Weights
Estimating Long-term Heterogeneous Dose-response Curve: Generalization Bound Leveraging Optimal Transport Weights
Zeqin Yang
Weilin Chen
Ruichu Cai
Yuguang Yan
Zhifeng Hao
Zhipeng Yu
Zhichao Zou
Jixing Xu
Zhen Peng
Jiecheng Guo
64
3
0
27 Jun 2024
Meta-Learners for Partially-Identified Treatment Effects Across Multiple
  Environments
Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments
J. Schweisthal
Dennis Frauen
M. Schaar
Stefan Feuerriegel
CML
47
4
0
04 Jun 2024
Pareto-Optimal Estimation and Policy Learning on Short-term and
  Long-term Treatment Effects
Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects
Yingrong Wang
Anpeng Wu
Haoxuan Li
Weiming Liu
Qiaowei Miao
Ruoxuan Xiong
Fei Wu
Kun Kuang
42
0
0
05 Mar 2024
Identification and Estimation for Nonignorable Missing Data: A Data
  Fusion Approach
Identification and Estimation for Nonignorable Missing Data: A Data Fusion Approach
Zixiao Wang
AmirEmad Ghassami
I. Shpitser
8
1
0
15 Nov 2023
A Double Machine Learning Approach to Combining Experimental and
  Observational Data
A Double Machine Learning Approach to Combining Experimental and Observational Data
Harsh Parikh
Marco Morucci
Vittorio Orlandi
Sudeepa Roy
Cynthia Rudin
A. Volfovsky
13
8
0
04 Jul 2023
1