ArticleBiomedicines2023
Sensitivity Analysis for Survival Prognostic Prediction with Gene Selection: A Copula Method for Dependent Censoring.
Article in Biomedicines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Permutation Tests Based on the Copula-Graphic Estimator and Their Use for Survival Tree Construction.Statistics in medicine · 2026Article
- Identification of exosome-related genes associated with prognosis and immune infiltration features in pancreatic cancer.Discover oncology · 2025Article
- Inference of Gene Regulatory Networks for Breast Cancer Based on Genetic Modules.BME frontiers · 2025Article
- Liquid-liquid phase separation in gastric cancer: identifying novel biomarkers and therapeutic targets through gene signature analysis.Frontiers in immunology · 2025Article
- Construction and validation of a ubiquitination-related prognostic risk score signature in breast cancer.Heliyon · 2024Article
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- Identification of exosome-related gene signature as a promising diagnostic and therapeutic tool for breast cancer.Heliyon · 2024Article
- Article
- Comparison of left- and right-sided colorectal cancer to explore prognostic signatures related to pyroptosis.Heliyon · 2024Article
- Identifying the tumor-associated macrophage of lung adenocarcinoma reveals immune landscape through omics data integration.Heliyon · 2024Article
- Lactylation-related gene signature for prognostic prediction and immune infiltration analysis in breast cancer.Heliyon · 2024Article
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- Disulfidptosis-related signature elucidates the prognostic, immunologic, and therapeutic characteristics in ovarian cancer.Frontiers in genetics · 2024Article
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Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Prognostic analysis for patient survival often employs gene expressions obtained from high-throughput screening for tumor tissues from patients. When dealing with survival data, a dependent censoring phenomenon arises, and thus the traditional Cox model may not correctly identify the effect of each gene. A copula-based gene selection model can effectively adjust for dependent censoring, yielding a multi-gene predictor for survival prognosis. However, methods to assess the impact of various types of dependent censoring on the multi-gene predictor have not been developed. In this article, we propose a sensitivity analysis method using the copula-graphic estimator under dependent censoring, and implement relevant methods in the R package "compound.Cox". The purpose of the proposed method is to investigate the sensitivity of the multi-gene predictor to a variety of dependent censoring mechanisms. In order to make the proposed sensitivity analysis practical, we develop a web application. We apply the proposed method and the web application to a lung cancer dataset. We provide a template file so that developers can modify the template to establish their own web applications.
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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.