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Optimal Statistical Inference for Individualized Treatment Effects in High-Dimensional Models

https://doi.org/10.1111/rssb.12426
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Anti-TNF Antibody Therapy in Rheumatoid Arthritis and the Risk of Serious Infections and Malignancies
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The 2015 American College of Rheumatology Guideline for the Treatment of Rheumatoid Arthritis Should Include New Standards for Hepatitis B Screening: Comment on the Article by Singh et al
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The PREMIER study: A multicenter, randomized, double‐blind clinical trial of combination therapy with adalimumab plus methotrexate versus methotrexate alone or adalimumab alone in patients with early, aggressive rheumatoid arthritis who had not had previous methotrexate treatment
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Comparison of etanercept and methotrexate, alone and combined, in the treatment of rheumatoid arthritis: Two‐year clinical and radiographic results from the TEMPO study, a double‐blind, randomized trial
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On sparse representation for optimal individualized treatment selection with penalized outcome weighted learning
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Statistics for High-Dimensional Data
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Ensemble methods for classification of patients for personalized medicine with high-dimensional data
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Comparison of methotrexate monotherapy with a combination of methotrexate and etanercept in active, early, moderate to severe rheumatoid arthritis (COMET): a randomised, double-blind, parallel treatment trial
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Prognostic and predictive value of the 21-gene recurrence score assay in postmenopausal women with node-positive, oestrogen-receptor-positive breast cancer on chemotherapy: a retrospective analysis of a randomised trial
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Introduction to the non-asymptotic analysis of random matrices
inferredcites →https://doi.org/10.1038/nature02626openalex-snapshot
Moving towards individualized medicine with pharmacogenomics
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High-density genetic mapping identifies new susceptibility loci for rheumatoid arthritis
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Predictive biomarkers: a paradigm shift towards personalized cancer medicine
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Anti-TNF biologic agents: still the therapy of choice for rheumatoid arthritis
inferredcites →https://doi.org/10.1080/01621459.2012.695674openalex-snapshot
Estimating Individualized Treatment Rules Using Outcome Weighted Learning
inferredcites →https://doi.org/10.1080/01621459.2015.1093947openalex-snapshot
Residual Weighted Learning for Estimating Individualized Treatment Rules
inferredcites →https://doi.org/10.1080/01621459.2017.1356319openalex-snapshot
Linear Hypothesis Testing in Dense High-Dimensional Linear Models
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Hazard rate ordering of the second-order statistics from multiple-outlier PHR samples
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Square-Root Lasso: Pivotal Recovery of Sparse Signals via Conic Programming
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Scaled sparse linear regression
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Variance estimation in high-dimensional linear models
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Combined tumour necrosis factor- and tumour necrosis factor receptor genotypes could predict rheumatoid arthritis patients' response to anti-TNF- therapy and explain controversies of studies based on a single polymorphism
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Journal of the Royal Statistical Society: Series B (Statistical Methodology)
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Regression Shrinkage and Selection Via the Lasso
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Confidence Intervals for Low Dimensional Parameters in High Dimensional Linear Models
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Approximate Residual Balancing: Debiased Inference of Average Treatment Effects in High Dimensions
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Semisupervised Inference for Explained Variance in High Dimensional Linear Regression and its Applications
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A Flexible Framework for Hypothesis Testing in High Dimensions
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A translational engine at the national scale: informatics for integrating biology and the bedside
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Genetic markers for the efficacy of tumour necrosis factor blocking therapy in rheumatoid arthritis
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Long-term efficacy and safety of antitumour necrosis factor alpha treatment in rhupus: an open-label study of 15 patients
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Atomic Decomposition by Basis Pursuit
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Precision Medicine for Advanced Pancreas Cancer: The Individualized Molecular Pancreatic Cancer Therapy (IMPaCT) Trial
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ACPA-positive and ACPA-negative rheumatoid arthritis differ in their requirements for combination DMARDs and corticosteroids: secondary analysis of a randomized controlled trial
inferredcites →https://doi.org/10.1198/016214501753382273openalex-snapshot
Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
inferredcites →https://doi.org/10.1200/jco.2005.02.857openalex-snapshot
Mutations in the Epidermal Growth Factor Receptor and in KRAS Are Predictive and Prognostic Indicators in Patients With Non–Small-Cell Lung Cancer Treated With Chemotherapy Alone and in Combination With Erlotinib
inferredcites →https://doi.org/10.1200/jco.2006.08.2099openalex-snapshot
Feasibility and Efficacy of Molecular Analysis-Directed Individualized Therapy in Advanced Non–Small-Cell Lung Cancer
inferredcites →https://doi.org/10.1214/009053606000001523openalex-snapshot
The Dantzig selector: Statistical estimation when p is much larger than n
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Simultaneous analysis of Lasso and Dantzig selector
inferredcites →https://doi.org/10.1214/09-aos729openalex-snapshot
Nearly unbiased variable selection under minimax concave penalty
inferredcites →https://doi.org/10.1214/10-aos864openalex-snapshot
Performance guarantees for individualized treatment rules
inferredcites →https://doi.org/10.1214/12-aoas593openalex-snapshot
Estimating treatment effect heterogeneity in randomized program evaluation
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Confidence sets in sparse regression
inferredcites →https://doi.org/10.1214/14-aos1221openalex-snapshot
On asymptotically optimal confidence regions and tests for high-dimensional models
inferredcites →https://doi.org/10.1214/16-aos1461openalex-snapshot
Confidence intervals for high-dimensional linear regression: Minimax rates and adaptivity
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Efficient and adaptive linear regression in semi-supervised settings
inferredcites →https://doi.org/10.1214/17-aos1604openalex-snapshot
Accuracy assessment for high-dimensional linear regression
inferredcites →https://doi.org/10.1257/jep.28.2.29openalex-snapshot
High-Dimensional Methods and Inference on Structural and Treatment Effects
inferredcites →https://doi.org/10.1586/erm.12.59openalex-snapshot
Personalized medicine and pharmacogenetic biomarkers: progress in molecular oncology testing
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Regularization Paths for Generalized Linear Models via Coordinate Descent
inferredcites →https://doi.org/10.1920/wp.cem.2011.4111openalex-snapshot
Inference for high-dimensional sparse econometric models
inferredcites →https://doi.org/10.2119/2008-00056.liuopenalex-snapshot
Genome-Wide Association Scan Identifies Candidate Polymorphisms Associated with Differential Response to Anti-TNF Treatment in Rheumatoid Arthritis
inferredcites →https://doi.org/10.3390/jpm6010011openalex-snapshot
The Biobank Portal for Partners Personalized Medicine: A Query Tool for Working with Consented Biobank Samples, Genotypes, and Phenotypes Using i2b2
inferredcites →https://doi.org/10.3982/ecta9626openalex-snapshot
Sparse Models and Methods for Optimal Instruments With an Application to Eminent Domain
inferredcites →https://doi.org/10.48550/arxiv.1306.3171openalex-snapshot
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression
inferredcites →https://doi.org/10.48550/arxiv.1705.01024openalex-snapshot
A projection pursuit framework for testing general high-dimensional hypothesis
inferredcites →https://doi.org/10.5555/2789272.2789290openalex-snapshot
The flare package for high dimensional linear regression and precision matrix estimation in R

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Triple/Debiased Lasso for Statistical Inference of Conditional Average Treatment Effects
inferred← citeshttps://doi.org/10.1007/s11749-023-00870-1openalex-snapshot
Statistical inference and large-scale multiple testing for high-dimensional regression models
inferred← citeshttps://doi.org/10.1007/s11749-023-00911-9openalex-snapshot
Rejoinder on: statistical inference and large-scale multiple testing for high-dimensional regression models
inferred← citeshttps://doi.org/10.1007/s11749-025-00971-zopenalex-snapshot
Testing high-dimensional mediation effect with arbitrary exposure–mediator coefficients
inferred← citeshttps://doi.org/10.1038/s41430-023-01297-5openalex-snapshot
Post hoc subgroup analysis and identification—learning more from existing data
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Statistical Inference for Maximin Effects: Identifying Stable Associations across Multiple Studies
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A Decorrelating and Debiasing Approach to Simultaneous Inference for High-Dimensional Confounded Models
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Controlling the False Split Rate in Tree-Based Aggregation
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Robust Inference for Federated Meta-Learning
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Prediction sets for high-dimensional mixture of experts models
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Distributed Semi-Supervised Sparse Statistical Inference
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SIHR: Statistical Inference in High Dimensional Regression
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SIHR: Statistical Inference in High-Dimensional Linear and Logistic Regression Models
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Corporate sustainability performance across economic development countries: a systematic literature review on the innovation to achievement
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Statistical Approach in Personalized Nutrition Exemplified by Reanalysis of Public Datasets
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Bias-Corrected Inference of High-Dimensional Generalized Linear Models
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Statistical Inference for High Dimensional Regression with Proxy Data
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