Cover Image

Doubly robust inference with censoring unbiased transformations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Sandqvist, Oliver Lunding
Format:	Preprint
Published:	2024
Subjects:	Methodology Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Event history analysis with time-dependent covariates via landmarking supermodels and boosted trees
by: Sandqvist, Oliver Lunding
Published: (2026)

Doubly robust inference via calibration
by: van der Laan, Lars, et al.
Published: (2024)

Estimation for multistate models subject to reporting delays and incomplete event adjudication with application to disability insurance
by: Buchardt, K., et al.
Published: (2023)

Doubly robust estimation with functional outcomes missing at random
by: Liu, Xijia, et al.
Published: (2024)

Doubly robust pointwise confidence intervals for a monotonic continuous treatment effect curve
by: Doss, Charles R.
Published: (2025)

An unbiased estimator of the case fatality rate
by: Alvarez, Agustín, et al.
Published: (2021)

On a theory of martingales for censoring
by: Baer, Benjamin R., et al.
Published: (2024)

Priors for second-order unbiased Bayes estimators
by: Sakai, Mana, et al.
Published: (2024)

Minimax unbiased estimation for finite populations with bounded outcomes
by: Aronow, P. M., et al.
Published: (2026)

On unbiased estimators for functions of the rate parameter of the exponential distribution
by: Vila, Roberto, et al.
Published: (2025)

Asymptotics of cut distributions and robust modular inference using Posterior Bootstrap
by: Pompe, Emilia, et al.
Published: (2021)

Properly constrained reference priors decay rates for efficient and robust posterior inference
by: Van Biesbroeck, Antoine
Published: (2024)

On MCMC mixing for predictive inference under unidentified transformation models
by: Zhong, Chong, et al.
Published: (2024)

With random regressors, least squares inference is robust to correlated errors with unknown correlation structure
by: Zhang, Zifeng, et al.
Published: (2024)

Asymptotic properties of the MLE in distributional regression under random censoring
by: Kremling, Gitte, et al.
Published: (2025)

Rank-transformed subsampling: inference for multiple data splitting and exchangeable p-values
by: Guo, F. Richard, et al.
Published: (2023)

On treating right-censoring events like treatments
by: Wen, Lan, et al.
Published: (2025)

An exact unbiased semi-parametric L2 quasi-likelihood framework, complete in the presence of ties
by: Hurley, Landon
Published: (2026)

An exact unbiased semi-parametric maximum quasi-likelihood framework which is complete in the presence of ties
by: Hurley, Landon
Published: (2025)

Doubly-Unlinked Regression for Dependent Data
by: Burman, Anik, et al.
Published: (2026)

Nonparametric goodness of fit tests for Pareto type-I distribution with complete and censored data
by: Vishnu, Avhad Ganesh, et al.
Published: (2024)

Stein's unbiased risk estimate and Hyvärinen's score matching
by: Ghosh, Sulagna, et al.
Published: (2025)

Estimators of different delta coefficients based on the unbiased estimator of the expected proportions of agreements
by: Andrés, A. Martín, et al.
Published: (2026)

Estimation of the complier causal hazard ratio under dependent censoring
by: Crommen, Gilles, et al.
Published: (2025)

Debiased machine learning for counterfactual survival functionals based on left-truncated right-censored data
by: Morenz, Eric R., et al.
Published: (2024)

Doubly-Robust Functional Average Treatment Effect Estimation
by: Testa, Lorenzo, et al.
Published: (2025)

Doubly robust estimation of causal effects for random object outcomes with continuous treatments
by: Bhattacharjee, Satarupa, et al.
Published: (2025)

Causal inference through multi-stage learning and doubly robust deep neural networks
by: Zhang, Yuqian, et al.
Published: (2024)

Censored Graphical Horseshoe: Bayesian sparse precision matrix estimation with censored and missing data
by: Mai, The Tien, et al.
Published: (2026)

Doubly Robust Estimation with Stabilized Weights for Binary Proximal Outcomes in Micro-Randomized Trials
by: Cha, Jinho, et al.
Published: (2025)

Doubly Robust and Efficient Calibration of Prediction Sets for Right-Censored Time-to-Event Outcomes
by: Farina, Rebecca, et al.
Published: (2025)

High-dimensional Bayesian Tobit regression for censored response with Horseshoe prior
by: Mai, The Tien
Published: (2025)

Neymanian inference in randomized experiments
by: Chattopadhyay, Ambarish, et al.
Published: (2024)

Mosaic inference on panel data
by: Spector, Asher, et al.
Published: (2025)

Optimal Treatment Rules under Missing Predictive Covariates: A Covariate-Balancing Doubly Robust Approach
by: Zhang, Yue, et al.
Published: (2025)

Introducing the b-value: combining unbiased and biased estimators from a sensitivity analysis perspective
by: Lin, Zhexiao, et al.
Published: (2026)

Likelihood distortion and Bayesian local robustness
by: Di Noia, Antonio, et al.
Published: (2024)

Improved bounds and inference on optimal regimes
by: Laurendeau, Julien D., et al.
Published: (2024)

Selective inference is easier with p-values
by: Sood, Anav
Published: (2024)

On inference for modularity statistics in structured networks
by: Mitra, Anirban, et al.
Published: (2024)