Ensuring valid inference for Cox hazard ratios after variable selection
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Publication:6589253
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)
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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