Image de couverture de livre

Capturing heterogeneous time-variation in covariate effects in non-proportional hazard regression models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Hagemann, Niklas, Kneib, Thomas, Möllenhoff, Kathrin
Format:	Preprint
Publié:	2025
Sujets:	Methodology Statistics Theory
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Overcoming model uncertainty -- how equivalence tests can benefit from model averaging
par: Hagemann, Niklas, et autres
Publié: (2024)

Testing for similarity of multivariate mixed outcomes using generalised joint regression models with application to efficacy-toxicity responses
par: Hagemann, Niklas, et autres
Publié: (2024)

Estimating effect thresholds and beyond: A flexible framework for multivariate alert detection
par: Ameis, Lucia, et autres
Publié: (2026)

Overcoming Model Uncertainty — How Equivalence Tests Can Benefit From Model Averaging
par: Niklas Hagemann, et autres
Publié: (2025)

Identifiability of causal effects with non-Gaussianity and auxiliary covariates
par: Shuai, Kang, et autres
Publié: (2023)

Difference-based covariance matrix estimate in time series nonparametric regression with applications to specification tests
par: Bai, Lujia, et autres
Publié: (2023)

Optimal Cox regression under federated differential privacy: coefficients and cumulative hazards
par: Hung, Elly K. H., et autres
Publié: (2025)

Demystifying Spatial Confounding
par: Dupont, Emiko, et autres
Publié: (2023)

Debiased regression adjustment in completely randomized experiments with moderately high-dimensional covariates
par: Lu, Xin, et autres
Publié: (2023)

Higher criticism for rare and weak non-proportional hazard deviations in survival analysis
par: Kipnis, Alon, et autres
Publié: (2023)

Hybrid Bayesian Estimation in the additive hazards model
par: Álvarez, Enrique Ernesto, et autres
Publié: (2025)

Bayesian analysis of regression discontinuity designs with heterogeneous treatment effects
par: Tao, Kevin, et autres
Publié: (2025)

Augmented transfer regression learning for completely missing covariates
par: Zhao, Huali, et autres
Publié: (2026)

Improved confidence intervals for nonlinear mixed-effects and nonparametric regression models
par: Zheng, Nan, et autres
Publié: (2024)

Spatial autoregressive model with measurement error in covariates
par: Paul, Subhadeep, et autres
Publié: (2024)

Modeling group heterogeneity in spatio-temporal data via physics-informed semiparametric regression
par: De Sanctis, Marco F., et autres
Publié: (2025)

Testing for no effect in regression problems: a permutation approach
par: Ciszewski, Michał, et autres
Publié: (2023)

False discovery proportion envelopes with m-consistency
par: Meah, Iqraa, et autres
Publié: (2023)

Regularized zero-inflated Bernoulli regression model
par: Ndoye, Mouhamed, et autres
Publié: (2025)

Regression adjustment in covariate-adaptive randomized experiments with missing covariates
par: Fu, Wanjia, et autres
Publié: (2025)

Detection and inference of changes in high-dimensional linear regression with non-sparse structures
par: Cho, Haeran, et autres
Publié: (2024)

A multivariate spatial regression model using signatures
par: Frévent, Camille, et autres
Publié: (2024)

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

Edgeworth corrections for the spiked eigenvalues of non-Gaussian sample covariance matrices with applications
par: Wei, Yashi, et autres
Publié: (2025)

Shape-restricted transfer learning analysis for generalized linear regression model
par: Li, Pengfei, et autres
Publié: (2024)

Uncertainty quantification for mixed membership in multilayer networks with degree heterogeneity using Gaussian variational inference
par: Xie, Fangzheng, et autres
Publié: (2025)

Interaction tests with covariate-adaptive randomization
par: Zhang, Likun, et autres
Publié: (2023)

On the inverse of covariance matrices for unbalanced crossed designs
par: Lyu, Ziyang, et autres
Publié: (2025)

Efficient nonparametric estimation of Toeplitz covariance matrices
par: Klockmann, Karolina, et autres
Publié: (2023)

Semi-supervised linear regression with missing covariates
par: Risebrow, Benedict M., et autres
Publié: (2026)

Fitting sparse high-dimensional varying-coefficient models with Bayesian regression tree ensembles
par: Ghosh, Soham, et autres
Publié: (2025)

Bayesian change-plane regression
par: Ohnishi, Yuki, et autres
Publié: (2026)

Facilitating heterogeneous effect estimation via statistically efficient categorical modifiers
par: Kowal, Daniel R.
Publié: (2024)

Inference under covariate-adaptive randomization with many strata
par: Xin, Jiahui, et autres
Publié: (2024)

Asymptotic testing of covariance separability for matrix elliptical data
par: Virta, Joni, et autres
Publié: (2026)

Dynamic covariate balancing: estimating treatment effects over time with potential local projections
par: Viviano, Davide, et autres
Publié: (2021)

Optimal heteroskedasticity testing in nonparametric regression
par: Kotekal, Subhodh, et autres
Publié: (2023)

On the achievability of efficiency bounds for covariate-adjusted response-adaptive randomization
par: Xin, Jiahui, et autres
Publié: (2024)

A spectral approach for online covariance change point detection
par: Bao, Zhigang, et autres
Publié: (2026)

Data integration using covariate summaries from external sources
par: Yu, Facheng, et autres
Publié: (2024)