Copertina

Simultaneous Estimation of Multiple Treatment Effects from Observational Studies

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Shi, Xiaochuan, Kong, Dehan, Wang, Linbo
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Methodology
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

The synthetic instrument: From sparse association to sparse causation
di: Tang, Dingke, et al.
Pubblicazione: (2023)

Fighting Noise with Noise: Causal Inference with Many Candidate Instruments
di: Zhang, Xinyi, et al.
Pubblicazione: (2022)

Towards R-learner with Continuous Treatments
di: Zhang, Yichi, et al.
Pubblicazione: (2022)

Simultaneous hypothesis testing for comparing many functional means
di: Decker, Colin, et al.
Pubblicazione: (2025)

Successive classification learning for estimating quantile optimal treatment regimes
di: Xia, Junwen, et al.
Pubblicazione: (2025)

Functional principal component analysis with informative observation times
di: Sang, Peijun, et al.
Pubblicazione: (2022)

Marginal Causal Effect Estimation with Continuous Instrumental Variables
di: Dong, Mei, et al.
Pubblicazione: (2025)

Sensitivity Analysis of Inverse Probability Weighting Estimators of Causal Effects in Observational Studies with Multivalued Treatments
di: Basit, Md Abdul, et al.
Pubblicazione: (2023)

Stationarity of Manifold Time Series
di: Zhu, Junhao, et al.
Pubblicazione: (2024)

Budgeted Active Experimentation for Treatment Effect Estimation from Observational and Randomized Data
di: Gao, Jiacan, et al.
Pubblicazione: (2026)

Semiparametric Estimation of Treatment Effects in Observational Studies with Heterogeneous Partial Interference
di: Qu, Zhaonan, et al.
Pubblicazione: (2021)

Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data
di: Oprescu, Miruna, et al.
Pubblicazione: (2024)

Randomization-Based Inference for Average Treatment Effects in Inexactly Matched Observational Studies
di: Zhu, Jianan, et al.
Pubblicazione: (2023)

Bayesian Network Propensity Score to Evaluate Treatment Effects in Observational Studies
di: Di Serio, Clelia, et al.
Pubblicazione: (2025)

Multicategory Matched Learning for Estimating Optimal Individualized Treatment Rules in Observational Studies with Application to a Hepatocellular Carcinoma Study
di: Li, Xuqiao, et al.
Pubblicazione: (2023)

Multiple Treatments Causal Effects Estimation with Task Embeddings and Balanced Representation Learning
di: Murakami, Yuki, et al.
Pubblicazione: (2025)

Estimating Effects of Long-Term Treatments
di: Huang, Shan, et al.
Pubblicazione: (2023)

Estimating Conditional Average Treatment Effects with Heteroscedasticity by Model Averaging and Matching
di: Shi, Pengfei, et al.
Pubblicazione: (2023)

Ablation Studies for Novel Treatment Effect Estimation Models
di: Souto, Hugo Gobato, et al.
Pubblicazione: (2024)

Treatment Effect Estimation with Observational Network Data using Machine Learning
di: Emmenegger, Corinne, et al.
Pubblicazione: (2022)

Effect Aliasing in Observational Studies
di: Rosenbaum, Paul R., et al.
Pubblicazione: (2024)

LongBet: Heterogeneous Treatment Effect Estimation in Panel Data
di: Wang, Meijia, et al.
Pubblicazione: (2024)

A Bayesian Method for Adverse Effects Estimation in Observational Studies with Truncation by Death
di: Sisti, Anthony, et al.
Pubblicazione: (2024)

Comparing Propensity Score-Based Methods in Estimating the Treatment Effects: A Simulation Study
di: Poletto, Sara, et al.
Pubblicazione: (2024)

Estimation of Treatment Effects based on Kernel Matching
di: Ding, Chong, et al.
Pubblicazione: (2025)

Joint Estimation of Marginal and Heterogeneous Treatment Effects
di: Wuethrich, Leticia, et al.
Pubblicazione: (2026)

Flexible Functional Treatment Effect Estimation
di: Wang, Jiayi, et al.
Pubblicazione: (2023)

Assessing Estimate of CATE from Observational Data via an RCT Study
di: Cui, Bosen, et al.
Pubblicazione: (2026)

Estimating Treatment Effects using Multiple Surrogates: The Role of the Surrogate Score and the Surrogate Index
di: Athey, Susan, et al.
Pubblicazione: (2016)

Efficient Estimation of Average Treatment Effect on the Treated under Endogenous Treatment Assignment
di: Ghosh, Trinetri, et al.
Pubblicazione: (2023)

Integrate Meta-analysis into Specific Study (InMASS) for Estimating Conditional Average Treatment Effect
di: Hanada, Keisuke, et al.
Pubblicazione: (2025)

Causal Meta-Analysis by Integrating Multiple Observational Studies with Multivariate Outcomes
di: Guha, Subharup, et al.
Pubblicazione: (2023)

Incorporating Auxiliary Variables to Improve the Efficiency of Time-Varying Treatment Effect Estimation
di: Shi, Jieru, et al.
Pubblicazione: (2023)

Multiple Comparison Procedures for Simultaneous Inference in Functional MANOVA
di: Munko, Merle, et al.
Pubblicazione: (2024)

Nonparametric Estimation of Local Treatment Effects with Continuous Instruments
di: Zeng, Zhenghao, et al.
Pubblicazione: (2025)

Tail-Calibrated Estimation of Extreme Quantile Treatment Effects
di: Li, Mengran, et al.
Pubblicazione: (2026)

Bounding Treatment Effects by Pooling Limited Information across Observations
di: Lee, Sokbae, et al.
Pubblicazione: (2021)

Estimation of Treatment Effects Under Nonstationarity via the Truncated Policy Gradient Estimator
di: Johari, Ramesh, et al.
Pubblicazione: (2025)

Bias Mitigation in Matched Observational Studies with Continuous Treatments: Calipered Non-Bipartite Matching and Bias-Corrected Estimation and Inference
di: Frazier, Anthony, et al.
Pubblicazione: (2024)

A Capture-Recapture Approach to Enhance Treatment Effect Evaluation in an Observational Cohort
di: Ge, Lin, et al.
Pubblicazione: (2024)