Copertina

Correction for Weak IV Bias and Winner's Curse in Mendelian Randomization Egger Regression: Rerandomized Egger estimator

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Su, Youpeng, Ma, Yilei, Yin, Ping, Wang, Peng
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Methodology
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A modified debiased inverse-variance weighted estimator in two-sample summary-data Mendelian randomization
di: Su, Youpeng, et al.
Pubblicazione: (2024)

Winner's Curse Free Robust Mendelian Randomization with Summary Data
di: Xie, Zhongming, et al.
Pubblicazione: (2023)

Breaking the Winner's Curse with Bayesian Hybrid Shrinkage
di: Mudd, Richard, et al.
Pubblicazione: (2026)

Breaking the Winner's Curse with Bayesian Hybrid Shrinkage
di: Mudd, Richard, et al.
Pubblicazione: (2025)

Simultaneously accounting for winner's curse and sample structure in Mendelian randomization: bivariate rerandomized inverse variance weighted estimator
di: Liu, Xin, et al.
Pubblicazione: (2026)

Triotemnus striatus Eggers 1936
di: Nel, Wilma J., et al.
Pubblicazione: (2025)

A Flexible Defense Against the Winner's Curse
di: Zrnic, Tijana, et al.
Pubblicazione: (2024)

Langevin-Gradient Rerandomization
di: Junior, Antônio Carlos Herling Ribeiro
Pubblicazione: (2026)

Bias Correction for Semiparametric Regression Models
di: Zhang, Yuming, et al.
Pubblicazione: (2026)

Sequentially-Rerandomized Switchback Experiments
di: Zeng, Zhenghao, et al.
Pubblicazione: (2026)

Rerandomization for quantile treatment effects
di: Han, Tingxuan, et al.
Pubblicazione: (2026)

Sobrevaluación no es solución / Leopoldo Eggers
di: Eggers, Leopoldo
Pubblicazione: (1997)

Bias Correction in Factor-Augmented Regression Models with Weak Factors
di: Jiang, Peiyun, et al.
Pubblicazione: (2025)

Fast Rerandomization via the BRAIN
di: Lu, Jiuyao, et al.
Pubblicazione: (2023)

Robust Mendelian Randomization Estimation using Weighted Quantile Regression
di: St-Pierre, Julien, et al.
Pubblicazione: (2026)

Eggers decomposition of polar curves in positive characteristic
di: de Felipe, Ana Belén, et al.
Pubblicazione: (2025)

Eggers, Baron von Aug. 19, 1880
di: Eggers, H. F. A. (Heinrich Franz Alexander), Baron von
Pubblicazione: (1880)

Fast Rerandomization for Balancing Covariates in Randomized Experiments: A Metropolis-Hastings Framework
di: Lu, Jiuyao, et al.
Pubblicazione: (2026)

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

Conditionally Affinely Invariant Rerandomization and its Admissible Complete Class
di: Zhong, Zhen, et al.
Pubblicazione: (2024)

Asymptotic Theory of the Best-Choice Rerandomization using the Mahalanobis Distance
di: Wang, Yuhao, et al.
Pubblicazione: (2023)

Correcting the Coverage Bias of Quantile Regression
di: Gibbs, Isaac, et al.
Pubblicazione: (2025)

Ferreola pseudodenticulata Schmid-Egger, 2018, nov.sp.
di: Schmid-Egger, Rnold Christian
Pubblicazione: (2018)

GENIUS-MAWII: For Robust Mendelian Randomization with Many Weak Invalid Instruments
di: Ye, Ting, et al.
Pubblicazione: (2021)

Kernel Discrepancy-Based Rerandomization for Controlled Experiments
di: Li, Yiou, et al.
Pubblicazione: (2019)

A Unified Framework for Rerandomization using Quadratic Forms
di: Schindl, Kyle, et al.
Pubblicazione: (2024)

Debiased Estimating Equation Method for Robust and Efficient Mendelian Randomization Using a Large Number of Correlated Weak and Invalid Instruments
di: Wang, Ruoyu, et al.
Pubblicazione: (2024)

Does Rerandomization Help Beyond Covariate Adjustment? A Review and Guide for Theory and Practice
di: Junior, Antônio Carlos Herling Ribeiro, et al.
Pubblicazione: (2025)

Mexamerica, Inc. mexican multinationals in the United States / Leopoldo Eggers
di: Eggers, Leopoldo

Weak instruments in multivariable Mendelian randomization: methods and practice
di: Patel, Ashish, et al.
Pubblicazione: (2024)

Causal Estimation and Inference in Nonlinear Mendelian Randomization Studies
di: Wang, Xinpei, et al.
Pubblicazione: (2024)

Mediation Analysis with Mendelian Randomization and Efficient Multiple GWAS Integration
di: Lyu, Rita Qiuran, et al.
Pubblicazione: (2023)

Causal Covariate Selection for the Imputation-based Regression Calibration Method for Exposure Measurement Error Bias Correction
di: Tang, Wenze, et al.
Pubblicazione: (2023)

Brachystegus nemkovi Schmid-Egger & Al Jahdhami 2025, sp. nov.
di: Schmid-Egger, Christian, et al.
Pubblicazione: (2025)

Synnevrus arabicus Schmid-Egger & Al-Jahdhami 2025, comb. nov.
di: Schmid-Egger, Christian, et al.
Pubblicazione: (2025)

Use of nuclear and radiological weapons by terrorists? / Christoph Wirz, Emmanuel Egger
di: Wirz, Christoph

A More Robust Approach to Multivariable Mendelian Randomization
di: Wu, Yinxiang, et al.
Pubblicazione: (2024)

Mendelian Randomization Methods for Causal Inference: Estimands, Identification and Inference
di: Yao, Minhao, et al.
Pubblicazione: (2025)

Linear Regression with Weak Exogeneity
di: Mikusheva, Anna, et al.
Pubblicazione: (2023)

A Modified Debiased Inverse‐Variance Weighted Estimator in Two‐Sample Summary‐Data Mendelian Randomization
di: Youpeng Su, et al.
Pubblicazione: (2024)