Ensuring valid inference for Cox hazard ratios after variable selection

DOI10.1111/biom.13889zbMath1543.62642MaRDI QIDQ6589253

Oliver Dukes, Unnamed Author, Stijn Vansteelandt

Publication date: 19 August 2024

Published in: Biometrics (Search for Journal in Brave)

zbMATH Keywords

variable selectionconfoundingcausal inferencedouble selectionpost-selection inference

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Valid post-selection inference
• Oracle inequalities for the lasso in the Cox model
• Regularization for Cox's proportional hazards model with NP-dimensionality
• A general theory of hypothesis tests and confidence regions for sparse high dimensional models
• Can one estimate the conditional distribution of post-model-selection estimators?
• The role of exchangeability in inference
• Honest confidence regions for nonparametric regression
• Statistical learning and selective inference
• Penalized Estimating Equations
• Testing and Confidence Intervals for High Dimensional Proportional Hazards Models
• Inference on Treatment Effects after Selection among High-Dimensional Controls
• Assumption-Lean Cox Regression
• Assumption-lean inference for generalised linear model parameters
• Principled selection of baseline covariates to account for censoring in randomized trials with a survival endpoint

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