Copertina

A survival analysis of glioma patients using topological features and locations of tumors

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Jang, Yuhyeong, Dan, Tu, Vu, Eric, Moon, Chul
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Methodology
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A novel methodological framework for the analysis of health trajectories and survival outcomes in heart failure patients
di: Murris, Juliette, et al.
Pubblicazione: (2024)

Integrating tumor burden with survival outcome for treatment effect evaluation in oncology trials
di: Bhandari, Saurabh, et al.
Pubblicazione: (2025)

Mediation analysis of community context effects on heart failure using the survival R2D2 prior
di: Feng, Brandon R., et al.
Pubblicazione: (2024)

Neural interval-censored survival regression with feature selection
di: Meixide, Carlos García, et al.
Pubblicazione: (2022)

Bayesian survival analysis with INLA
di: Alvares, Danilo, et al.
Pubblicazione: (2022)

Assessing variable importance in survival analysis using machine learning
di: Wolock, Charles J., et al.
Pubblicazione: (2023)

An efficient joint model for high dimensional longitudinal and survival data via generic association features
di: Nguyen, Van Tuan, et al.
Pubblicazione: (2023)

Two-sided conformalized survival analysis
di: Holmes, Chris, et al.
Pubblicazione: (2024)

Causal survival analysis under competing risks using longitudinal modified treatment policies
di: Díaz, Iván, et al.
Pubblicazione: (2022)

Local differential privacy in survival analysis using private failure indicators
di: Maxime, Egea, et al.
Pubblicazione: (2023)

Bayesian analysis of product feature allocation models
di: Ghilotti, Lorenzo, et al.
Pubblicazione: (2024)

Bayesian analysis of restricted mean survival time adjusted for covariates using pseudo-observations
di: Orsini, Léa, et al.
Pubblicazione: (2025)

Meta-analysis of median survival times with inverse-variance weighting
di: McGrath, Sean, et al.
Pubblicazione: (2025)

Re-examining and calibrating weighted survival analysis for causal inference
di: Xu, Wenfu, et al.
Pubblicazione: (2026)

Asymptotic theory of rerandomization for survival analysis
di: Chen, Xinyuan, et al.
Pubblicazione: (2026)

The Multivariate Bernoulli detector: Change point estimation in discrete survival analysis
di: Boom, Willem van den, et al.
Pubblicazione: (2023)

Conformal predictive intervals in survival analysis: a re-sampling approach
di: Qin, Jing, et al.
Pubblicazione: (2024)

Unsupervised dense random survival forests identify interpretable patient profiles with heterogeneous treatment benefit
di: Li, Xingyu, et al.
Pubblicazione: (2026)

While-alive regression analysis of composite survival endpoints
di: Fang, Xi, et al.
Pubblicazione: (2025)

Estimating equations for survival analysis with pooled logistic regression
di: Zivich, Paul N, et al.
Pubblicazione: (2025)

Fast and Optimal Changepoint Detection and Localization using Bonferroni Triplets
di: Jang, Jayoon, et al.
Pubblicazione: (2024)

Causal mediation analysis for longitudinal and survival data in continuous time using Bayesian non-parametric joint models
di: Bhandari, Saurabh, et al.
Pubblicazione: (2025)

Differentially private hypothesis testing in survival analysis
di: Hung, Elly K. H., et al.
Pubblicazione: (2026)

Multiply robust estimation for causal survival analysis with treatment noncompliance
di: Cheng, Chao, et al.
Pubblicazione: (2023)

Estimating heritability of survival traits using censored multiple variance component model
di: Kim, Do Hyun, et al.
Pubblicazione: (2025)

Modeling the restricted mean survival time using pseudo-value random forests
di: Schenk, Alina, et al.
Pubblicazione: (2024)

Bayesian generalized method of moments applied to pseudo-observations in survival analysis
di: Orsini, Léa, et al.
Pubblicazione: (2024)

Doubly robust estimation of optimal treatment regimes for survival data using an instrumental variable
di: Xia, Junwen, et al.
Pubblicazione: (2022)

Statistical methods for cost-effectiveness analysis of left-truncated censored survival data with treatment delays
di: Khudyakov, Polyna, et al.
Pubblicazione: (2025)

Desirability of outcome ranking (DOOR) analysis for multivariate survival outcomes with application to ACTT-1 trial
di: Shu, Shiyu, et al.
Pubblicazione: (2025)

A new approach for Bayesian joint modeling of longitudinal and cure-survival outcomes using the defective Gompertz distribution
di: Neto, Dionisio Silva, et al.
Pubblicazione: (2025)

A machine learning approach based on survival analysis for IBNR frequencies in non-life reserving
di: Hiabu, Munir, et al.
Pubblicazione: (2023)

Analysis of spatially clustered survival data with unobserved covariates using SBART
di: Ghosh, Durbadal, et al.
Pubblicazione: (2024)

Balancing events, not patients, maximizes power of the logrank test: and other insights on unequal randomization in survival trials
di: Yung, Godwin, et al.
Pubblicazione: (2024)

Correcting for bias due to mismeasured exposure in mediation analysis with a survival outcome
di: Cheng, Chao, et al.
Pubblicazione: (2023)

Dynamic survival analysis: modelling the hazard function via ordinary differential equations
di: Christen, J. A., et al.
Pubblicazione: (2023)

Explainable AI for survival analysis: a median-SHAP approach
di: Ter-Minassian, Lucile, et al.
Pubblicazione: (2024)

Network Meta-Analysis of survival outcomes with non-proportional hazards using flexible M-splines
di: Phillippo, David M., et al.
Pubblicazione: (2025)

Comparing restricted mean survival times in small sample clinical trials using pseudo-observations
di: Jesse, David, et al.
Pubblicazione: (2024)

Fast variational Bayesian inference for correlated survival data: an application to invasive mechanical ventilation duration analysis
di: Xian, Chengqian, et al.
Pubblicazione: (2024)