Imagen de Portada

GENIUS-MAWII: For Robust Mendelian Randomization with Many Weak Invalid Instruments

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Ye, Ting, Liu, Zhonghua, Sun, Baoluo, Tchetgen, Eric Tchetgen
Formato:	Preprint
Publicado:	2021
Materias:	Methodology Statistics Theory
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Quasi Instrumental Variable Methods for Stable Hidden Confounding and Binary Outcome
por: Liu, Zhonghua, et al.
Publicado: (2025)

Semiparametric Causal Inference for Right-Censored Outcomes with Many Weak Invalid Instruments
por: Bu, Qiushi, et al.
Publicado: (2025)

Doubly Robust and Efficient Calibration of Prediction Sets for Right-Censored Time-to-Event Outcomes
por: Farina, Rebecca, et al.
Publicado: (2025)

Efficient and Multiply Robust Risk Estimation under General Forms of Dataset Shift
por: Qiu, Hongxiang, et al.
Publicado: (2023)

Partial Identification of Causal Effects for Endogenous Continuous Treatments
por: Dalal, Abhinandan, et al.
Publicado: (2025)

Multiply Robust Conformal Risk Control with Coarsened Data
por: Paul, Manit, et al.
Publicado: (2025)

Fortified Proximal Causal Inference with Many Invalid Proxies
por: Yu, Myeonghun, et al.
Publicado: (2025)

Forster-Warmuth Counterfactual Regression: A Unified Learning Approach
por: Yang, Yachong, et al.
Publicado: (2023)

Partial Identification of Causal Effects Using Proxy Variables
por: Ghassami, AmirEmad, et al.
Publicado: (2023)

Identification and Inference with Invalid Instruments
por: Kang, Hyunseung, et al.
Publicado: (2024)

Structural Nested Mean Models Under Parallel Trends Assumptions
por: Shahn, Zach, et al.
Publicado: (2022)

Adaptive Proximal Causal Inference with Some Invalid Proxies
por: Rakshit, Prabrisha, et al.
Publicado: (2025)

Using Instruments for Selection to Adjust for Selection Bias in Mendelian Randomization
por: Gkatzionis, Apostolos, et al.
Publicado: (2022)

Combining Experimental and Observational Data for Identification and Estimation of Long-Term Causal Effects
por: Ghassami, AmirEmad, et al.
Publicado: (2022)

Nonparametric Inference with an Instrumental Variable under a Separable Binary Treatment Choice Model
por: Park, Chan, et al.
Publicado: (2026)

Robustness Against Weak or Invalid Instruments: Exploring Nonlinear Treatment Models with Machine Learning
por: Guo, Zijian, et al.
Publicado: (2022)

Using negative controls to identify causal effects with invalid instrumental variables
por: Dukes, Oliver, et al.
Publicado: (2022)

Constructive Instrumental Variable Identification and Inference with Many Weak Interaction Moments
por: Zhang, Di, et al.
Publicado: (2025)

The Nudge Average Treatment Effect
por: Tchetgen, Eric J Tchetgen
Publicado: (2024)

The Multiplicative Quasi-Instrumental Variable Model
por: Liu, Jiewen, et al.
Publicado: (2026)

Nonparametric Instrumental Variable Inference with Many Weak Instruments
por: van der Laan, Lars, et al.
Publicado: (2025)

Auto-Doubly Robust Estimation of Causal Effects on a Network
por: Liu, Jizhou, et al.
Publicado: (2025)

Single Proxy Synthetic Control
por: Park, Chan, et al.
Publicado: (2023)

On Identification of Optimal Dynamic Treatment Regimes with Proxies of Hidden Confounders
por: Zhang, Jeffrey, et al.
Publicado: (2024)

Causal Inference for a Hidden Treatment
por: Zhou, Ying, et al.
Publicado: (2024)

A Nonparametric Framework for Universal Difference-in-Differences
por: Park, Chan, et al.
Publicado: (2022)

On a Debiased and Semiparametric Efficient Changes-in-Changes Estimator
por: Sun, Jinghao, et al.
Publicado: (2025)

GMM with Many Weak Moment Conditions and Nuisance Parameters: General Theory and Applications to Causal Inference
por: Wang, Rui, et al.
Publicado: (2025)

A Multiplicative Instrumental Variable Model for Data Missing Not-at-Random
por: Zhang, Yunshu, et al.
Publicado: (2025)

BudgetIV: Optimal Partial Identification of Causal Effects with Mostly Invalid Instruments
por: Penn, Jordan, et al.
Publicado: (2024)

Testing High-Dimensional Mediation Effect with Arbitrary Exposure-Mediator Coefficients
por: Lin, Yinan, et al.
Publicado: (2023)

Conditional Predictive Inference for Missing Outcomes
por: Lee, Yonghoon, et al.
Publicado: (2024)

Finding Distributions that Differ, with False Discovery Rate Control
por: Lee, Yonghoon, et al.
Publicado: (2025)

Proximal Causal Inference for Conditional Separable Effects
por: Park, Chan, et al.
Publicado: (2024)

Single Proxy Control
por: Park, Chan, et al.
Publicado: (2023)

Batch Predictive Inference
por: Lee, Yonghoon, et al.
Publicado: (2024)

Proximal Inference for Indirect and Intervening Effects in Population Interventions
por: Bai, Yang, et al.
Publicado: (2025)

Identification and Inference for Structural Accelerated Failure Time Models via Instrument Interactions
por: Bu, Qiushi, et al.
Publicado: (2026)

Multi-Task Learning for High-Dimensional Regression with Many Weak Instruments
por: Zhang, Di, et al.
Publicado: (2025)

Beyond Fixed Restriction Time: Adaptive Restricted Mean Survival Time Methods in Clinical Trials
por: Sun, Jinghao, et al.
Publicado: (2025)