Causal inference for the expected number of recurrent events in the presence of a terminal event
Fuente:
arXiv
Saved in:
| Main Authors: | Baer, Benjamin R., Bui, Trang, Mork, Daniel, Strawderman, Robert L., Ertefaie, Ashkan |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A structural nested rate model for estimating the effects of time-varying exposure on recurrent event outcomes in the presence of death
by: Mork, Daniel, et al.
Published: (2025)
by: Mork, Daniel, et al.
Published: (2025)
Valid post-selection inference in Robust Q-learning
by: Jones, Jeremiah, et al.
Published: (2022)
by: Jones, Jeremiah, et al.
Published: (2022)
On Causal Inference for the Survivor Function
by: Baer, Benjamin R., et al.
Published: (2025)
by: Baer, Benjamin R., et al.
Published: (2025)
On a theory of martingales for censoring
by: Baer, Benjamin R., et al.
Published: (2024)
by: Baer, Benjamin R., et al.
Published: (2024)
Constructing optimal treatment length strategies to maximize quality-adjusted lifetimes
by: Sun, Hao, et al.
Published: (2024)
by: Sun, Hao, et al.
Published: (2024)
Nonparametric assessment of regimen response curve estimators
by: Pham, Cuong, et al.
Published: (2024)
by: Pham, Cuong, et al.
Published: (2024)
Causal inference through multi-stage learning and doubly robust deep neural networks
by: Zhang, Yuqian, et al.
Published: (2024)
by: Zhang, Yuqian, et al.
Published: (2024)
Monte Carlo inference for semiparametric Bayesian regression
by: Kowal, Daniel R., et al.
Published: (2023)
by: Kowal, Daniel R., et al.
Published: (2023)
On treating right-censoring events like treatments
by: Wen, Lan, et al.
Published: (2025)
by: Wen, Lan, et al.
Published: (2025)
Generalizing and transporting causal inferences from randomized trials in the presence of trial engagement effects
by: Ung, Lawson, et al.
Published: (2024)
by: Ung, Lawson, et al.
Published: (2024)
Causal inference with recurrent and competing events
by: Janvin, Matias, et al.
Published: (2022)
by: Janvin, Matias, et al.
Published: (2022)
A general framework for inference on algorithm-agnostic variable importance
by: Williamson, Brian D., et al.
Published: (2020)
by: Williamson, Brian D., et al.
Published: (2020)
Doubly robust inference via calibration
by: van der Laan, Lars, et al.
Published: (2024)
by: van der Laan, Lars, et al.
Published: (2024)
A spectral inference method for determining the number of communities in networks
by: Wu, Yujia, et al.
Published: (2026)
by: Wu, Yujia, et al.
Published: (2026)
Estimation for multistate models subject to reporting delays and incomplete event adjudication with application to disability insurance
by: Buchardt, K., et al.
Published: (2023)
by: Buchardt, K., et al.
Published: (2023)
Variance-based sensitivity analysis in the presence of correlated input variables
by: Most, Thomas
Published: (2024)
by: Most, Thomas
Published: (2024)
Inverting estimating equations for causal inference on quantiles
by: Cheng, Chao, et al.
Published: (2024)
by: Cheng, Chao, et al.
Published: (2024)
Causal inference targeting a concentration index for studies of health inequalities
by: Ghasempour, Mohammad, et al.
Published: (2024)
by: Ghasempour, Mohammad, et al.
Published: (2024)
Causal inference under transportability assumptions for conditional relative effect measures
by: Wang, Guanbo, et al.
Published: (2024)
by: Wang, Guanbo, et al.
Published: (2024)
Semi-parametric inference based on adaptively collected data
by: Lin, Licong, et al.
Published: (2023)
by: Lin, Licong, et al.
Published: (2023)
Early-stopped aggregation: Adaptive inference with computational efficiency
by: Ohn, Ilsang, et al.
Published: (2026)
by: Ohn, Ilsang, et al.
Published: (2026)
Dimension-agnostic inference using cross U-statistics
by: Kim, Ilmun, et al.
Published: (2020)
by: Kim, Ilmun, et al.
Published: (2020)
Anytime-valid off-policy inference for contextual bandits
by: Waudby-Smith, Ian, et al.
Published: (2022)
by: Waudby-Smith, Ian, et al.
Published: (2022)
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data
by: Guo, Siyuan, et al.
Published: (2022)
by: Guo, Siyuan, et al.
Published: (2022)
An introduction to Causal Modelling
by: Baishya, Gauranga Kumar
Published: (2025)
by: Baishya, Gauranga Kumar
Published: (2025)
Orthogonal Causal Calibration
by: Whitehouse, Justin, et al.
Published: (2024)
by: Whitehouse, Justin, et al.
Published: (2024)
Selective inference using randomized group lasso estimators for general models
by: Huang, Yiling, et al.
Published: (2023)
by: Huang, Yiling, et al.
Published: (2023)
Higher-order accurate two-sample network inference and network hashing
by: Shao, Meijia, et al.
Published: (2022)
by: Shao, Meijia, et al.
Published: (2022)
Transfer Learning for Causal Effect Estimation
by: Wei, Song, et al.
Published: (2023)
by: Wei, Song, et al.
Published: (2023)
When can weak latent factors be statistically inferred?
by: Fan, Jianqing, et al.
Published: (2024)
by: Fan, Jianqing, et al.
Published: (2024)
Partial Identification of Causal Effects Using Proxy Variables
by: Ghassami, AmirEmad, et al.
Published: (2023)
by: Ghassami, AmirEmad, et al.
Published: (2023)
A Tutorial on Doubly Robust Learning for Causal Inference
by: Hlynsson, Hlynur Davíð
Published: (2024)
by: Hlynsson, Hlynur Davíð
Published: (2024)
Identifiability of Sparse Causal Effects using Instrumental Variables
by: Pfister, Niklas, et al.
Published: (2022)
by: Pfister, Niklas, et al.
Published: (2022)
Identifying Causal Effects Using a Single Proxy Variable
by: Vollmer, Silvan, et al.
Published: (2026)
by: Vollmer, Silvan, et al.
Published: (2026)
Sinkhorn Treatment Effects: A Causal Optimal Transport Measure
by: Agarwal, Medha, et al.
Published: (2026)
by: Agarwal, Medha, et al.
Published: (2026)
Differentiable Structure Learning and Causal Discovery for General Binary Data
by: Deng, Chang, et al.
Published: (2025)
by: Deng, Chang, et al.
Published: (2025)
Identifying Linearly-Mixed Causal Representations from Multi-Node Interventions
by: Bing, Simon, et al.
Published: (2023)
by: Bing, Simon, et al.
Published: (2023)
Discovering Causal Relationships using Proxy Variables under Unmeasured Confounding
by: Wu, Yong, et al.
Published: (2025)
by: Wu, Yong, et al.
Published: (2025)
Post-reduction inference for confidence sets of models
by: Battey, Heather, et al.
Published: (2025)
by: Battey, Heather, et al.
Published: (2025)
Deep neural expected shortfall regression with tail-robustness
by: Yu, Myeonghun, et al.
Published: (2025)
by: Yu, Myeonghun, et al.
Published: (2025)
Similar Items
-
A structural nested rate model for estimating the effects of time-varying exposure on recurrent event outcomes in the presence of death
by: Mork, Daniel, et al.
Published: (2025) -
Valid post-selection inference in Robust Q-learning
by: Jones, Jeremiah, et al.
Published: (2022) -
On Causal Inference for the Survivor Function
by: Baer, Benjamin R., et al.
Published: (2025) -
On a theory of martingales for censoring
by: Baer, Benjamin R., et al.
Published: (2024) -
Constructing optimal treatment length strategies to maximize quality-adjusted lifetimes
by: Sun, Hao, et al.
Published: (2024)