Mendelian Randomization Methods for Causal Inference: Estimands, Identification and Inference
Fuente:
arXiv
Saved in:
| Main Authors: | Yao, Minhao, Wang, Anqi, Li, Xihao, Liu, Zhonghua |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Mendelian Randomization Methods for Causal Inference: Estimands, Identification and Inference
by: Minhao Yao, et al.
Published: (2026)
by: Minhao Yao, et al.
Published: (2026)
The Estimand Framework and Causal Inference: Complementary not Competing Paradigms
by: Drury, Thomas, et al.
Published: (2024)
by: Drury, Thomas, et al.
Published: (2024)
An Introduction to Causal Inference Methods with Multi-omics Data
by: Yao, Minhao, et al.
Published: (2024)
by: Yao, Minhao, et al.
Published: (2024)
Identification and Inference with Invalid Instruments
by: Kang, Hyunseung, et al.
Published: (2024)
by: Kang, Hyunseung, et al.
Published: (2024)
Causal Inference with Outcomes Truncated by Death and Missing Not at Random
by: Li, Wei, et al.
Published: (2024)
by: Li, Wei, et al.
Published: (2024)
Causal Analysis of Air Pollution Mixtures: Estimands, Positivity, and Extrapolation
by: Antonelli, Joseph, et al.
Published: (2024)
by: Antonelli, Joseph, et al.
Published: (2024)
Longitudinal Outcomes Truncated by Death: Causal Estimands and Bayesian Estimators
by: Ortholand, Juliette, et al.
Published: (2026)
by: Ortholand, Juliette, et al.
Published: (2026)
Causal Inference for Circular Data
by: Wu, Kuan-Hsun
Published: (2025)
by: Wu, Kuan-Hsun
Published: (2025)
Estimation and Inference for Causal Explainability
by: Zhang, Weihan, et al.
Published: (2025)
by: Zhang, Weihan, et al.
Published: (2025)
Causal Inference in Genetic Trio Studies
by: Bates, Stephen, et al.
Published: (2020)
by: Bates, Stephen, et al.
Published: (2020)
Longitudinal Causal Inference with Selective Eligibility
by: Jiang, Zhichao, et al.
Published: (2024)
by: Jiang, Zhichao, et al.
Published: (2024)
Group Identification and Variable Selection in Multivariable Mendelian Randomization with Highly-Correlated Exposures
by: Wu, Yinxiang, et al.
Published: (2025)
by: Wu, Yinxiang, et al.
Published: (2025)
PanelMatch: Matching Methods for Causal Inference with Time-Series Cross-Section Data
by: Rauh, Adam, et al.
Published: (2025)
by: Rauh, Adam, et al.
Published: (2025)
Proximal Causal Inference for Modified Treatment Policies
by: Olivas-Martinez, Antonio, et al.
Published: (2025)
by: Olivas-Martinez, Antonio, et al.
Published: (2025)
Causal Inference Using Augmented Epidemic Models
by: Bong, Heejong, et al.
Published: (2024)
by: Bong, Heejong, et al.
Published: (2024)
Semiparametric Inference for Causal Effects on Functional Outcomes
by: Nie, Junzhu, et al.
Published: (2026)
by: Nie, Junzhu, et al.
Published: (2026)
lmw: Linear Model Weights for Causal Inference
by: Chattopadhyay, Ambarish, et al.
Published: (2023)
by: Chattopadhyay, Ambarish, et al.
Published: (2023)
Choosing Covariate Balancing Methods for Causal Inference: Practical Insights from a Simulation Study
by: Peyrot, Etienne, et al.
Published: (2024)
by: Peyrot, Etienne, et al.
Published: (2024)
Individualized Prediction Bands in Causal Inference with Continuous Treatments
by: Sampson, Max, et al.
Published: (2025)
by: Sampson, Max, et al.
Published: (2025)
Causal Inference for Continuous Multiple Time Point Interventions
by: Schomaker, Michael, et al.
Published: (2023)
by: Schomaker, Michael, et al.
Published: (2023)
What is Overlap Weighting, How Has it Evolved, and When to Use It for Causal Inference?
by: Lu, Haidong, et al.
Published: (2026)
by: Lu, Haidong, et al.
Published: (2026)
Estimating the Effects of Heatwaves on Health: A Causal Inference Framework
by: Grossi, Giulio, et al.
Published: (2025)
by: Grossi, Giulio, et al.
Published: (2025)
GenAI Powered Dynamic Causal Inference with Unstructured Data
by: Nakamura, Kentaro, et al.
Published: (2026)
by: Nakamura, Kentaro, et al.
Published: (2026)
Manipulating a Continuous Instrumental Variable in an Observational Study of Premature Babies: Algorithm, Partial Identification Bounds, and Inference under Randomization and Biased Randomization Assumptions
by: Chen, Zhe, et al.
Published: (2024)
by: Chen, Zhe, et al.
Published: (2024)
Testing Generalizability in Causal Inference
by: Manela, Daniel de Vassimon, et al.
Published: (2024)
by: Manela, Daniel de Vassimon, et al.
Published: (2024)
Nonparametric estimation of the Patient Weighted While-Alive Estimand
by: Ragni, Alessandra, et al.
Published: (2024)
by: Ragni, Alessandra, et al.
Published: (2024)
Forest Kernel Balancing Weights: Outcome-Guided Features for Causal Inference
by: Shen, Andy A., et al.
Published: (2025)
by: Shen, Andy A., et al.
Published: (2025)
Degree of Interference: A General Framework For Causal Inference Under Interference
by: Ohnishi, Yuki, et al.
Published: (2022)
by: Ohnishi, Yuki, et al.
Published: (2022)
Constructive Instrumental Variable Identification and Inference with Many Weak Interaction Moments
by: Zhang, Di, et al.
Published: (2025)
by: Zhang, Di, et al.
Published: (2025)
Robust Causal Inference for EHR-based Studies of Point Exposures with Missingness in Eligibility Criteria
by: Benz, Luke, et al.
Published: (2025)
by: Benz, Luke, et al.
Published: (2025)
Causal Inference in Longitudinal Data under Unknown Interference
by: Wang, Ye, et al.
Published: (2021)
by: Wang, Ye, et al.
Published: (2021)
Bayesian Nonparametric Causal Inference for Quantile Residual Life: An Application to Alzheimer's Disease
by: Bae, Woojung, et al.
Published: (2026)
by: Bae, Woojung, et al.
Published: (2026)
Causal Inference of Blood Pressure Reduction and Coronary Heart Disease Risk in the Framingham Study
by: Patra, Suchibrata
Published: (2026)
by: Patra, Suchibrata
Published: (2026)
Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes
by: Du, Jin-Hong, et al.
Published: (2024)
by: Du, Jin-Hong, et al.
Published: (2024)
Causal Inference for Experiments with Latent Outcomes: Key Results and Their Implications for Design and Analysis
by: Fu, Jiawei, et al.
Published: (2025)
by: Fu, Jiawei, et al.
Published: (2025)
Causal Discovery on Dependent Mixed Data with Applications to Gene Regulatory Network Inference
by: Chen, Alex, et al.
Published: (2026)
by: Chen, Alex, et al.
Published: (2026)
Statistical Inference for Heterogeneous Treatment Effect with Right-censored Data from Synthesizing Randomized Clinical Trials and Real-world Data
by: Mao, Guangcai, et al.
Published: (2025)
by: Mao, Guangcai, et al.
Published: (2025)
How Much Does Home Field Advantage Matter in Soccer Games? A Causal Inference Approach for English Premier League Analysis
by: Wang, Chen, et al.
Published: (2022)
by: Wang, Chen, et al.
Published: (2022)
Randomization Inference for Before-and-After Studies with Multiple Units: An Application to a Criminal Procedure Reform in Uruguay
by: Cattaneo, Matias D., et al.
Published: (2024)
by: Cattaneo, Matias D., et al.
Published: (2024)
Fast Uncertainty Quantification for Kernel-Based Estimators in Large-Scale Causal Inference
by: Kosko, Matthew, et al.
Published: (2026)
by: Kosko, Matthew, et al.
Published: (2026)
Similar Items
-
Mendelian Randomization Methods for Causal Inference: Estimands, Identification and Inference
by: Minhao Yao, et al.
Published: (2026) -
The Estimand Framework and Causal Inference: Complementary not Competing Paradigms
by: Drury, Thomas, et al.
Published: (2024) -
An Introduction to Causal Inference Methods with Multi-omics Data
by: Yao, Minhao, et al.
Published: (2024) -
Identification and Inference with Invalid Instruments
by: Kang, Hyunseung, et al.
Published: (2024) -
Causal Inference with Outcomes Truncated by Death and Missing Not at Random
by: Li, Wei, et al.
Published: (2024)