Estimating Individual Treatment Effects using Non-Parametric Regression
Models: a Review

Estimating Individual Treatment Effects using Non-Parametric Regression Models: a Review

14 September 2020

I. Manolopoulou

Papers citing "Estimating Individual Treatment Effects using Non-Parametric Regression Models: a Review"

19 / 19 papers shown

Title
Extended Fiducial Inference for Individual Treatment Effects via Deep Neural Networks Sehwan Kim F. Liang FedML 41 0 0 04 May 2025
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
Assessing Surrogate Heterogeneity in Real World Data Using Meta-Learners Rebecca Knowlton Layla Parast 12 0 0 21 Apr 2025
Testing Generalizability in Causal Inference Daniel de Vassimon Manela Linying Yang Robin J. Evans 28 0 0 05 Nov 2024
Educational Effects in Mathematics: Conditional Average Treatment Effect depending on the Number of Treatments Tomoko Nagai Takayuki Okuda Tomoya Nakamura Yuichiro Sato Yusuke Sato Kensaku Kinjo Kengo Kawamura Shin Kikuta Naoto Kumano-go CML 24 0 0 03 Nov 2024
A flexible Bayesian g-formula for causal survival analyses with time-dependent confounding Xinyuan Chen Liangyuan Hu Fan Li CML 16 0 0 04 Feb 2024
Causal prediction models for medication safety monitoring: The diagnosis of vancomycin-induced acute kidney injury Izak A. R. Yasrebi-de Kom J. Klopotowska Dave A. Dongelmans N. D. Keizer Kitty Jager Ameen Abu-Hanna Giovanni Cina CML 14 0 0 15 Nov 2023
Bayesian Causal Forests for Multivariate Outcomes: Application to Irish Data From an International Large Scale Education Assessment Nathan McJames Andrew C. Parnell Yong Chen Goh A. O’Shea CML 19 5 0 08 Mar 2023
Orthogonal Series Estimation for the Ratio of Conditional Expectation Functions Kazuhiko Shinoda T. Hoshino CML 11 0 0 26 Dec 2022
Counterfactual Learning with Multioutput Deep Kernels A. Caron G. Baio I. Manolopoulou BDL CML OffRL 8 1 0 20 Nov 2022
Flexible machine learning estimation of conditional average treatment effects: a blessing and a curse Richard Post Isabel L. van den Heuvel M. Petković Edwin R. van den Heuvel CML 15 1 0 29 Oct 2022
Heterogeneous Treatment Effect with Trained Kernels of the Nadaraya-Watson Regression A. Konstantinov Stanislav R. Kirpichenko Lev V. Utkin CML 14 3 0 19 Jul 2022
Interpretable Deep Causal Learning for Moderation Effects A. Caron G. Baio I. Manolopoulou CML OOD 17 2 0 21 Jun 2022
Comparison of meta-learners for estimating multi-valued treatment heterogeneous effects Naoufal Acharki Ramiro Lugo A. Bertoncello Josselin Garnier CML 16 11 0 29 May 2022
Searching for subgroup-specific associations while controlling the false discovery rate M. Sesia Tianshu Sun 18 0 0 17 May 2022
$β$ -Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap Pengzhou (Abel) Wu Kenji Fukumizu CML 25 14 0 11 Oct 2021
Causal Effect Inference for Structured Treatments Jean Kaddour Yuchen Zhu Qi Liu Matt J. Kusner Ricardo M. A. Silva CML 166 50 0 03 Jun 2021
Shrinkage Bayesian Causal Forests for Heterogeneous Treatment Effects Estimation A. Caron G. Baio I. Manolopoulou CML 18 16 0 12 Feb 2021
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 207 718 0 12 May 2016