Saved in:
| Main Authors: | Knudsen, Mark B., Gabriel, Erin E., Martinussen, Torben, Rytgaard, Helene C. W., Sjölander, Arvid |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2504.01524 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Debiased inference for stochastic treatment interventions with survival outcomes
by: Martinussen, Torben, et al.
Published: (2026)
by: Martinussen, Torben, et al.
Published: (2026)
Nonparametric efficient estimation of the longitudinal front-door functional
by: Breum, Marie S., et al.
Published: (2025)
by: Breum, Marie S., et al.
Published: (2025)
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)
Causal inference for calibrated scaling interventions on time-to-event processes
by: Rytgaard, Helene Charlotte Wiese, et al.
Published: (2025)
by: Rytgaard, Helene Charlotte Wiese, et al.
Published: (2025)
Nonparametric efficient causal estimation of the intervention-specific expected number of recurrent events with continuous-time targeted maximum likelihood and highly adaptive lasso estimation
by: Rytgaard, Helene C. W., et al.
Published: (2024)
by: Rytgaard, Helene C. W., et al.
Published: (2024)
Deriving Complete Constraints in Hidden Variable Models
by: Sachs, Michael C., et al.
Published: (2026)
by: Sachs, Michael C., et al.
Published: (2026)
Adding covariates to bounds: What is the question?
by: Jonzon, Gustav, et al.
Published: (2025)
by: Jonzon, Gustav, et al.
Published: (2025)
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)
Estimation of the Number Needed to Treat, the Number Needed to be Exposed, and the Exposure Impact Number with Instrumental Variables
by: Vancak, Valentin, et al.
Published: (2023)
by: Vancak, Valentin, et al.
Published: (2023)
Nonparametric Bounds for Evaluating the Clinical Utility of Treatment Rules
by: Hruza, Johannes, et al.
Published: (2025)
by: Hruza, Johannes, et al.
Published: (2025)
Variable importance measures for heterogeneous treatment effects with survival outcome
by: Ziersen, Simon Christoffer, et al.
Published: (2024)
by: Ziersen, Simon Christoffer, et al.
Published: (2024)
Causal effect on the number of life years lost due to a specific event: Average treatment effect and variable importance
by: Ziersen, Simon Christoffer, et al.
Published: (2025)
by: Ziersen, Simon Christoffer, et al.
Published: (2025)
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)
Efficient nonparametric estimators of discrimination measures with censored survival data
by: Breum, Marie Skov, et al.
Published: (2024)
by: Breum, Marie Skov, et al.
Published: (2024)
Efficient estimation of the target population average treatment effect from multi-source data
by: Su, Zehao, et al.
Published: (2024)
by: Su, Zehao, et al.
Published: (2024)
Estimation of treatment effects in presence of differential use of post-randomization concomitant medication with time-to-event outcomes
by: Rytgaard, Helene C. W., et al.
Published: (2026)
by: Rytgaard, Helene C. W., et al.
Published: (2026)
Nonparametric estimation of the Patient Weighted While-Alive Estimand
by: Ragni, Alessandra, et al.
Published: (2024)
by: Ragni, Alessandra, et al.
Published: (2024)
Improving precision of cumulative incidence estimates in randomized controlled trials with external controls
by: Su, Zehao, et al.
Published: (2025)
by: Su, Zehao, et al.
Published: (2025)
Proximal indirect comparison
by: Su, Zehao, et al.
Published: (2024)
by: Su, Zehao, et al.
Published: (2024)
Prediction meets causal inference: the role of treatment in clinical prediction models
by: van Geloven, Nan, et al.
Published: (2020)
by: van Geloven, Nan, et al.
Published: (2020)
Bounds for causal mediation effects
by: Breum, Marie S., et al.
Published: (2025)
by: Breum, Marie S., et al.
Published: (2025)
Semiparametric fiducial inference for Cox models
by: Cui, Yifan, et al.
Published: (2024)
by: Cui, Yifan, et al.
Published: (2024)
A joint QoL-Survival framework with debiased estimation under truncation by death
by: Martinussen, Torben, et al.
Published: (2026)
by: Martinussen, Torben, et al.
Published: (2026)
Connections as treatment: causal inference with edge interventions in networks
by: Chen, Shuli, et al.
Published: (2026)
by: Chen, Shuli, et al.
Published: (2026)
Spectral domain likelihoods for Bayesian inference in time-varying parameter models
by: Gustafsson, Oskar, et al.
Published: (2024)
by: Gustafsson, Oskar, et al.
Published: (2024)
Nonparametric causal inference for optogenetics: sequential excursion effects for dynamic regimes
by: Loewinger, Gabriel, et al.
Published: (2024)
by: Loewinger, Gabriel, et al.
Published: (2024)
Bayesian inference on Cox regression models using catalytic prior distributions
by: Li, Weihao, et al.
Published: (2023)
by: Li, Weihao, et al.
Published: (2023)
Distilling heterogeneous treatment effects: Stable subgroup estimation in causal inference
by: Huang, Melody, et al.
Published: (2025)
by: Huang, Melody, et al.
Published: (2025)
Dynamic causal inference with time series data
by: Schaffe-Odeleye, Tanique, et al.
Published: (2026)
by: Schaffe-Odeleye, Tanique, et al.
Published: (2026)
Robust Bayesian causal estimation for causal inference in medical diagnosis
by: Basu, Tathagata, et al.
Published: (2024)
by: Basu, Tathagata, et al.
Published: (2024)
Adaptive sparsening and smoothing of the treatment model for longitudinal causal inference using outcome-adaptive LASSO and marginal fused LASSO
by: Schnitzer, Mireille E, et al.
Published: (2024)
by: Schnitzer, Mireille E, et al.
Published: (2024)
Credible causal inference beyond toy models
by: Bastías, Pablo Geraldo
Published: (2024)
by: Bastías, Pablo Geraldo
Published: (2024)
Data collaboration for causal inference from limited medical testing and medication data
by: Nakayama, Tomoru, et al.
Published: (2025)
by: Nakayama, Tomoru, et al.
Published: (2025)
Linear models for causal inference under network interference
by: Tong, Eric, et al.
Published: (2026)
by: Tong, Eric, et al.
Published: (2026)
Identifiable causal inference with noisy treatment and no side information
by: Pöllänen, Antti, et al.
Published: (2023)
by: Pöllänen, Antti, et al.
Published: (2023)
Spatial causal inference in the presence of preferential sampling to study the impacts of marine protected areas
by: Son, Dongjae, et al.
Published: (2024)
by: Son, Dongjae, et al.
Published: (2024)
Regression-based proximal causal inference for right-censored time-to-event data
by: Li, Kendrick, et al.
Published: (2024)
by: Li, Kendrick, et al.
Published: (2024)
On robust Bayesian causal inference
by: Alexopoulos, Angelos, et al.
Published: (2025)
by: Alexopoulos, Angelos, et al.
Published: (2025)
Covariate balancing for causal inference on categorical and continuous treatments
by: Lee, Seong-ho, et al.
Published: (2021)
by: Lee, Seong-ho, et al.
Published: (2021)
Berry-Esseen bounds for design-based causal inference with possibly diverging treatment levels and varying group sizes
by: Shi, Lei, et al.
Published: (2022)
by: Shi, Lei, et al.
Published: (2022)
Similar Items
-
Debiased inference for stochastic treatment interventions with survival outcomes
by: Martinussen, Torben, et al.
Published: (2026) -
Nonparametric efficient estimation of the longitudinal front-door functional
by: Breum, Marie S., et al.
Published: (2025) -
The impact of coarsening an exposure on partial identifiability in instrumental variable settings
by: Gabriel, Erin E., et al.
Published: (2024) -
Causal inference for calibrated scaling interventions on time-to-event processes
by: Rytgaard, Helene Charlotte Wiese, et al.
Published: (2025) -
Nonparametric efficient causal estimation of the intervention-specific expected number of recurrent events with continuous-time targeted maximum likelihood and highly adaptive lasso estimation
by: Rytgaard, Helene C. W., et al.
Published: (2024)