ArticleJournal of the Royal Statistical Society. Series B, Statistical methodology2017
Testing and Confidence Intervals for High Dimensional Proportional Hazards Model.
Article in Journal of the Royal Statistical Society. Series B, Statistical methodology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- Optimizing Treatment Decision Estimation for Right-Censored Survival Data Through Parameter Transfer Learning.Statistics in medicine · 2026Article
- Post-selection inference for the Cox model with interval-censored data.Scandinavian journal of statistics, theory and applications · 2025Article
- Model-Free Statistical Inference on High-Dimensional Data.Journal of the American Statistical Association · 2025Article
- Functional Principal Component Analysis for Continuous Non-Gaussian, Truncated, and Discrete Functional Data.Statistics in medicine · 2024Article
- Using Auxiliary Information in Probability Survey Data to Improve Pseudo-Weighting in Nonprobability Samples: A Copula Model Approach.Journal of survey statistics and methodology · 2024Article
- Increasing Power in Phase III Oncology Trials With Multivariable Regression: An Empirical Assessment of 535 Primary End Point Analyses.JCO clinical cancer informatics · 2024Article
- High-dimensional mediation analysis for continuous outcome with confounders using overlap weighting method in observational epigenetic study.BMC medical research methodology · 2024Article
- Bayesian Inference for High Dimensional Cox Models with Gaussian and Diffused-Gamma Priors: A Case Study of Mortality in COVID-19 Patients Admitted to the ICU.Statistics in biosciences · 2024Article
- A Double Regression Method for Graphical Modeling of High-dimensional Nonlinear and Non-Gaussian Data.Statistics and its interface · 2024Article
- Estimation and Inference for High-Dimensional Generalized Linear Models with Knowledge Transfer.Journal of the American Statistical Association · 2024Article
- Debiased lasso for stratified Cox models with application to the national kidney transplant data.The annals of applied statistics · 2023Article
- EFFICIENT ESTIMATION OF THE MAXIMAL ASSOCIATION BETWEEN MULTIPLE PREDICTORS AND A SURVIVAL OUTCOME.Annals of statistics · 2023Article
- Statistical Inference for Cox Proportional Hazards Models with a Diverging Number of Covariates.Scandinavian journal of statistics, theory and applications · 2023Article
- Debiased lasso for generalized linear models with a diverging number of covariates.Biometrics · 2023Article
- Inference for High-Dimensional Censored Quantile Regression.Journal of the American Statistical Association · 2023Article
- Article
- Rank-Based Greedy Model Averaging for High-Dimensional Survival Data.Journal of the American Statistical Association · 2023Article
- HIMA2: high-dimensional mediation analysis and its application in epigenome-wide DNA methylation data.BMC bioinformatics · 2022Article
- Inference for high-dimensional linear mixed-effects models: A quasi-likelihood approach.Journal of the American Statistical Association · 2022Article
- Mediation analysis for survival data with high-dimensional mediators.Bioinformatics (Oxford, England) · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
This paper proposes a decorrelation-based approach to test hypotheses and construct confidence intervals for the low dimensional component of high dimensional proportional hazards models. Motivated by the geometric projection principle, we propose new decorrelated score, Wald and partial likelihood ratio statistics. Without assuming model selection consistency, we prove the asymptotic normality of these test statistics, establish their semiparametric optimality. We also develop new procedures for constructing pointwise confidence intervals for the baseline hazard function and baseline survival function. Thorough numerical results are provided to back up our theory.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.