Estimation of the Number Needed to Treat, the Number Needed to be Exposed, and the Exposure Impact Number with Instrumental Variables
Fuente:
arXiv
Saved in:
| Main Authors: | Vancak, Valentin, Sjölander, Arvid |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Definition, Identification, and Estimation of the Direct and Indirect Number Needed to Treat
by: Vancak, Valentin, et al.
Published: (2025)
by: Vancak, Valentin, et al.
Published: (2025)
Deriving Complete Constraints in Hidden Variable Models
by: Sachs, Michael C., et al.
Published: (2026)
by: Sachs, Michael C., et al.
Published: (2026)
The impact of coarsening an exposure on partial identifiability in instrumental variable settings
by: Gabriel, Erin E., et al.
Published: (2024)
by: Gabriel, Erin E., et al.
Published: (2024)
The Effective Number of Parameters in Kernel Density Estimation
by: Guglielmini, Sofia, et al.
Published: (2024)
by: Guglielmini, Sofia, et al.
Published: (2024)
Nonparametric Bounds for Evaluating the Clinical Utility of Treatment Rules
by: Hruza, Johannes, et al.
Published: (2025)
by: Hruza, Johannes, et al.
Published: (2025)
Calibration with Bagging of the Principal Components on a Large Number of Auxiliary Variables
by: Hasler, Caren, et al.
Published: (2025)
by: Hasler, Caren, et al.
Published: (2025)
Debiased Estimating Equation Method for Robust and Efficient Mendelian Randomization Using a Large Number of Correlated Weak and Invalid Instruments
by: Wang, Ruoyu, et al.
Published: (2024)
by: Wang, Ruoyu, et al.
Published: (2024)
Adding covariates to bounds: What is the question?
by: Jonzon, Gustav, et al.
Published: (2025)
by: Jonzon, Gustav, et al.
Published: (2025)
A Graph-based Approach to Estimating the Number of Clusters in High-dimensional Settings
by: Bai, Yichuan, et al.
Published: (2024)
by: Bai, Yichuan, et al.
Published: (2024)
On the limitations for causal inference in Cox models with time-varying treatment
by: Knudsen, Mark B., et al.
Published: (2025)
by: Knudsen, Mark B., et al.
Published: (2025)
Multiple Hypothesis Testing To Estimate The Number Of Communities in Stochastic Block Models
by: Jha, Chetkar, et al.
Published: (2025)
by: Jha, Chetkar, et al.
Published: (2025)
Instrumental Variable Estimation of Distributional Causal Effects
by: Kook, Lucas, et al.
Published: (2024)
by: Kook, Lucas, et al.
Published: (2024)
Unlocking the Power of Time-Since-Infection Models: Data Augmentation for Improved Instantaneous Reproduction Number Estimation
by: Shi, Jiasheng, et al.
Published: (2024)
by: Shi, Jiasheng, et al.
Published: (2024)
Estimating the Number of Components in Finite Mixture Models via Variational Approximation
by: Wang, Chenyang, et al.
Published: (2024)
by: Wang, Chenyang, et al.
Published: (2024)
Quantifying Omitted Variable Bias in Nonlinear Instrumental Variable Estimators
by: Yen, Yu-Min
Published: (2026)
by: Yen, Yu-Min
Published: (2026)
An Eigengap Ratio Test for Determining the Number of Communities in Network Data
by: Wu, Yujia, et al.
Published: (2024)
by: Wu, Yujia, et al.
Published: (2024)
Determining the Number of Common Functional Factors with Twice Cross-Validation
by: Jiang, Hui, et al.
Published: (2024)
by: Jiang, Hui, et al.
Published: (2024)
Review on Determining the Number of Communities in Network Data
by: Du, Zhengyuan, et al.
Published: (2025)
by: Du, Zhengyuan, et al.
Published: (2025)
Marginal Causal Effect Estimation with Continuous Instrumental Variables
by: Dong, Mei, et al.
Published: (2025)
by: Dong, Mei, et al.
Published: (2025)
Consistent Selection of the Number of Groups in Panel Models via Cross-Validation
by: Li, Zhe, et al.
Published: (2022)
by: Li, Zhe, et al.
Published: (2022)
Risk Estimate under a Time-Varying Autoregressive Model for Data-Driven Reproduction Number Estimation
by: Pascal, Barbara, et al.
Published: (2024)
by: Pascal, Barbara, et al.
Published: (2024)
Non-parametric Replication of Instrumental Variable Estimates Across Studies
by: Zawadzki, Roy S., et al.
Published: (2024)
by: Zawadzki, Roy S., et al.
Published: (2024)
Estimating the Instantaneous Reproduction Number With Imperfect Data: A Method to Account for Case-Reporting Variation and Serial Interval Uncertainty
by: Hettinger, Gary, et al.
Published: (2023)
by: Hettinger, Gary, et al.
Published: (2023)
OPTICS: Order-Preserved Test-Inverse Confidence Set for Number of Change-Points
by: Sun, Ao, et al.
Published: (2026)
by: Sun, Ao, et al.
Published: (2026)
On Doubly Robust Estimation with Nonignorable Missing Data Using Instrumental Variables
by: Sun, Baoluo, et al.
Published: (2023)
by: Sun, Baoluo, et al.
Published: (2023)
An Instrumental Variable Estimator for Mixed Indicators: Analytic Derivatives and Alternative Parameterizations
by: Fisher, Zachary F., et al.
Published: (2019)
by: Fisher, Zachary F., et al.
Published: (2019)
Optimization of Survey Weights under a Large Number of Conflicting Constraints
by: Williams, Matthew R., et al.
Published: (2019)
by: Williams, Matthew R., et al.
Published: (2019)
Propensity weighting plus adjustment in proportional hazards model is not doubly robust
by: Gabriel, Erin E, et al.
Published: (2023)
by: Gabriel, Erin E, et al.
Published: (2023)
Determining the Number of Communities in Sparse and Imbalanced Settings
by: Shao, Zhixuan, et al.
Published: (2024)
by: Shao, Zhixuan, et al.
Published: (2024)
The Multiplicative Instrumental Variable Model
by: Liu, Jiewen, et al.
Published: (2025)
by: Liu, Jiewen, et al.
Published: (2025)
Selecting the Number of Communities for Weighted Degree-Corrected Stochastic Block Models
by: Liu, Yucheng, et al.
Published: (2024)
by: Liu, Yucheng, et al.
Published: (2024)
Determine the Number of States in Hidden Markov Models via Marginal Likelihood
by: Chen, Yang, et al.
Published: (2024)
by: Chen, Yang, et al.
Published: (2024)
Iterative Estimation of Nonparametric Regressions with Continuous Endogenous Variables and Discrete Instruments
by: Centorrino, Samuele, et al.
Published: (2019)
by: Centorrino, Samuele, et al.
Published: (2019)
Optimal Instrument Selection using Bayesian Model Averaging for Model Implied Instrumental Variable Two Stage Least Squares Estimators
by: Henry, Teague R., et al.
Published: (2018)
by: Henry, Teague R., et al.
Published: (2018)
Model Checking for Regressions Based on Weighted Residual Processes with Diverging Number of Predictors
by: Hu, Yue, et al.
Published: (2026)
by: Hu, Yue, et al.
Published: (2026)
The Multiplicative Quasi-Instrumental Variable Model
by: Liu, Jiewen, et al.
Published: (2026)
by: Liu, Jiewen, et al.
Published: (2026)
On the Number of Conditional Independence Tests in Constraint-based Causal Discovery
by: Monés, Marc Franquesa, et al.
Published: (2026)
by: Monés, Marc Franquesa, et al.
Published: (2026)
Correcting a Nonparametric Two-sample Graph Hypothesis Test for Graphs with Different Numbers of Vertices with Applications to Connectomics
by: Alyakin, Anton A., et al.
Published: (2020)
by: Alyakin, Anton A., et al.
Published: (2020)
Realizing Common Random Numbers: Event-Keyed Hashing for Causally Valid Stochastic Models
by: Buffalo, Vince, et al.
Published: (2026)
by: Buffalo, Vince, et al.
Published: (2026)
Instrument, Variable and Model Selection with Nonignorable Nonresponse
by: Chen, Ji, et al.
Published: (2025)
by: Chen, Ji, et al.
Published: (2025)
Similar Items
-
Definition, Identification, and Estimation of the Direct and Indirect Number Needed to Treat
by: Vancak, Valentin, et al.
Published: (2025) -
Deriving Complete Constraints in Hidden Variable Models
by: Sachs, Michael C., et al.
Published: (2026) -
The impact of coarsening an exposure on partial identifiability in instrumental variable settings
by: Gabriel, Erin E., et al.
Published: (2024) -
The Effective Number of Parameters in Kernel Density Estimation
by: Guglielmini, Sofia, et al.
Published: (2024) -
Nonparametric Bounds for Evaluating the Clinical Utility of Treatment Rules
by: Hruza, Johannes, et al.
Published: (2025)