Cover Image

Local differential privacy in survival analysis using private failure indicators

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Maxime, Egea, Mikael, Escobar-Bach
Format:	Preprint
Published:	2023
Subjects:	Statistics Theory Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Differentially private hypothesis testing in survival analysis
by: Hung, Elly K. H., et al.
Published: (2026)

Optimal Cox regression under federated differential privacy: coefficients and cumulative hazards
by: Hung, Elly K. H., et al.
Published: (2025)

Inference in the $p_0$ model for directed networks under local differential privacy
by: Sun, Xueying, et al.
Published: (2025)

Edge differentially private estimation in the $β$-model via jittering and method of moments
by: Chang, Jinyuan, et al.
Published: (2021)

Optimal estimation in private distributed functional data analysis
by: Xue, Gengyu, et al.
Published: (2024)

Asymptotic theory of rerandomization for survival analysis
by: Chen, Xinyuan, et al.
Published: (2026)

Multi-state model with temporal-consistent survival analysis for homogeneous Markov chains
by: Escobar-Bach, Mikael, et al.
Published: (2026)

Differentially private inference framework of Riemannian manifold data
by: Jiang, Yangdi, et al.
Published: (2026)

Continuous-time structural failure time model for intermittent treatment
by: Wang, Guanbo, et al.
Published: (2024)

Competing-risk Weibull survival model with multiple causes
by: Wang, Kai, et al.
Published: (2025)

Optimization-based frequentist confidence intervals for functionals in constrained inverse problems: Resolving the Burrus conjecture
by: Batlle, Pau, et al.
Published: (2023)

A goodness-of-fit test for testing exponentiality based on normalized dynamic survival extropy
by: Kandpal, Gaurav, et al.
Published: (2024)

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

Splitting schemes and estimators for stochastic differential equations with Hölder multiplicative noise
by: Fang, Bowen, et al.
Published: (2026)

Locally Simultaneous Inference
by: Zrnic, Tijana, et al.
Published: (2022)

Bayesian Global-Local Regularization
by: Datta, Jyotishka, et al.
Published: (2025)

Post-selection inference for high-dimensional mediation analysis with survival outcomes
by: Huang, Tzu-Jung, et al.
Published: (2024)

The Pivotal Information Criterion
by: Sardy, Sylvain, et al.
Published: (2026)

On Equivalence of Likelihood-Based Confidence Bands for Fatigue-Life and Fatigue-Strength Distributions
by: Liu, Peng, et al.
Published: (2024)

Proper Scoring Rules for Multivariate Probabilistic Forecasts based on Aggregation and Transformation
by: Pic, Romain, et al.
Published: (2024)

On the calibration of survival models with competing risks
by: Alberge, Julie, et al.
Published: (2026)

Local empirical Bayes correction for Bayesian modeling
by: Hayashi, Yoshiko
Published: (2025)

Multiscale Quantile Regression with Local Error Control
by: Liu, Zhi, et al.
Published: (2024)

Local estimation of transition rates of jump processes through discretization
by: Bladt, Martin, et al.
Published: (2026)

Generalized Local Polynomial Regression with Decomposed Context-Aware Kernels
by: Shulman, Yaniv
Published: (2026)

Rate Optimality and Phase Transition for User-Level Local Differential Privacy
by: Kent, Alexander, et al.
Published: (2024)

Inference for Multiple Change-points in Piecewise Locally Stationary Time Series
by: Ng, Wai Leong, et al.
Published: (2026)

Robust Confidence Intervals for a Binomial Proportion: Local Optimality and Adaptivity
by: Cho, Minjun, et al.
Published: (2025)

Locally tail-scale invariant scoring rules for evaluation of extreme value forecasts
by: Olafsdottir, Helga Kristin, et al.
Published: (2023)

A Two-stage Inference Procedure for Sample Local Average Treatment Effects in Randomized Experiments
by: Zhong, Zhen, et al.
Published: (2024)

Fourier analysis of spatial point processes
by: Yang, Junho, et al.
Published: (2024)

Fast kernel methods: Sobolev, physics-informed, and additive models
by: Doumèche, Nathan, et al.
Published: (2025)

Quotient EM under Misspecification:Tight Local Rates and Finite-Sample Bounds in General Integral Probability Metrics
by: Mallik, Koustav
Published: (2026)

Stochastic interventions, sensitivity analysis, and optimal transport
by: Levis, Alexander W., et al.
Published: (2024)

An average-case sensitivity analysis for unmeasured confounding
by: Zhang, Yao, et al.
Published: (2022)

CoLaS: Copula-Seeded Sparse Local Graphs with Tunable Assortativity, Persistent Clustering, and a Degree-Tail Dichotomy
by: Papamichalis, Marios, et al.
Published: (2025)

Design-based finite-sample analysis for regression adjustment
by: Song, Dogyoon
Published: (2025)

Network signflip parallel analysis for selecting the embedding dimension
by: Hong, David, et al.
Published: (2025)

Unsupervised linear discrimination using skewness
by: Radojicic, Una, et al.
Published: (2025)

Nonparametric extensions of randomized response for private confidence sets
by: Waudby-Smith, Ian, et al.
Published: (2022)