Copertina

Non-parametric Replication of Instrumental Variable Estimates Across Studies

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zawadzki, Roy S., Gillen, Daniel L.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Methodology
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Choosing the Right Approach at the Right Time: A Comparative Analysis of Causal Effect Estimation using Confounder Adjustment and Instrumental Variables
di: Zawadzki, Roy S., et al.
Pubblicazione: (2023)

Instrumental Variable Estimation of Distributional Causal Effects
di: Kook, Lucas, et al.
Pubblicazione: (2024)

Quantifying Omitted Variable Bias in Nonlinear Instrumental Variable Estimators
di: Yen, Yu-Min
Pubblicazione: (2026)

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

On Doubly Robust Estimation with Nonignorable Missing Data Using Instrumental Variables
di: Sun, Baoluo, et al.
Pubblicazione: (2023)

An Instrumental Variable Estimator for Mixed Indicators: Analytic Derivatives and Alternative Parameterizations
di: Fisher, Zachary F., et al.
Pubblicazione: (2019)

Instrumental Variable Approach to Estimating Individual Causal Effects in N-of-1 Trials: Application to ISTOP Study
di: Qu, Kexin, et al.
Pubblicazione: (2023)

Weight a Minute: Understanding Variability in PATE Estimates Across Target Populations
di: Stewart, William, et al.
Pubblicazione: (2025)

The Multiplicative Instrumental Variable Model
di: Liu, Jiewen, et al.
Pubblicazione: (2025)

Iterative Estimation of Nonparametric Regressions with Continuous Endogenous Variables and Discrete Instruments
di: Centorrino, Samuele, et al.
Pubblicazione: (2019)

Optimal Instrument Selection using Bayesian Model Averaging for Model Implied Instrumental Variable Two Stage Least Squares Estimators
di: Henry, Teague R., et al.
Pubblicazione: (2018)

Multiple Testing of Partial Conjunction Hypotheses for Assessing Replicability Across Dependent Studies
di: Dey, Monitirtha, et al.
Pubblicazione: (2025)

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

Negative Control Falsification Tests for Instrumental Variable Designs
di: Danieli, Oren, et al.
Pubblicazione: (2023)

Estimation of the Number Needed to Treat, the Number Needed to be Exposed, and the Exposure Impact Number with Instrumental Variables
di: Vancak, Valentin, et al.
Pubblicazione: (2023)

Instrument, Variable and Model Selection with Nonignorable Nonresponse
di: Chen, Ji, et al.
Pubblicazione: (2025)

Resistant Inference in Instrumental Variable Models
di: Klooster, Jens, et al.
Pubblicazione: (2024)

Distributional Instrumental Variable Method
di: Holovchak, Anastasiia, et al.
Pubblicazione: (2025)

An Instrumental Variables Framework to Unite Spatial Confounding Methods
di: Woodward, Sophie M., et al.
Pubblicazione: (2024)

Two-Stage Least Squares Instrumental Variable Estimation for Semiparametric Accelerated Failure Time Models with Right-Censored Data
di: Zhuang, Zian, et al.
Pubblicazione: (2025)

Possibilistic Instrumental Variable Regression
di: Steiner, Gregor, et al.
Pubblicazione: (2025)

Testability of Instrumental Variables in Additive Nonlinear, Non-Constant Effects Models
di: Guo, Xichen, et al.
Pubblicazione: (2024)

A Non-parametric Direct Learning Approach to Heterogeneous Treatment Effect Estimation under Unmeasured Confounding
di: Zhang, Xinhai, et al.
Pubblicazione: (2024)

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

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

Non-parametric Bayesian inference via loss functions under model misspecification
di: Luo, Yu, et al.
Pubblicazione: (2021)

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

Machine-Learning-Powered Specification Testing in Linear Instrumental Variable Models
di: Scheidegger, Cyrill, et al.
Pubblicazione: (2025)

Identifying Causal Effects Using Instrumental Variables from the Auxiliary Dataset
di: Shuai, Kang, et al.
Pubblicazione: (2023)

Stratification-based Instrumental Variable Analysis Framework for Nonlinear Effect Analysis
di: Tian, Haodong, et al.
Pubblicazione: (2025)

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

A Synthetic Instrumental Variable Method: Using the Dual Tendency Condition for Coplanar Instruments
di: Dzhumashev, Ratbek, et al.
Pubblicazione: (2025)

Nested Instrumental Variables Analysis: Switcher Average Treatment Effect, Identification, Efficient Estimation and Generalizability
di: Wang, Rui, et al.
Pubblicazione: (2024)

Non-parametric assessment of the calibration of individualized treatment effects
di: Sadatsafavi, Mohsen, et al.
Pubblicazione: (2025)

On Quantile Treatment Effects, Rank Similarity,and Variation of Instrumental Variables
di: Han, Sukjin, et al.
Pubblicazione: (2025)

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

Generalized Encouragement-Based Instrumental Variables for Counterfactual Regression
di: Wu, Anpeng, et al.
Pubblicazione: (2024)

Agglomerative Hierarchical Clustering for Selecting Valid Instrumental Variables
di: Apfel, Nicolas, et al.
Pubblicazione: (2021)

Demystifying Spectral Feature Learning for Instrumental Variable Regression
di: Meunier, Dimitri, et al.
Pubblicazione: (2025)

Learning Treatment Representations for Downstream Instrumental Variable Regression
di: Lin, Shiangyi, et al.
Pubblicazione: (2025)