Imagen de Portada

The underlap coefficient as a measure of a biomarker's discriminatory ability

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhang, Zhaoxi, Inacio, Vanda, de Carvalho, Miguel
Formato:	Preprint
Publicado:	2025
Materias:	Methodology
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

The generalized underlap coefficient with an application in clustering
por: Zhang, Zhaoxi, et al.
Publicado: (2026)

Penalised spline estimation of covariate-specific time-dependent ROC curves
por: Rodríguez-Álvarez, María Xosé, et al.
Publicado: (2025)

A Bayesian functional model with multilevel partition priors for group studies in neuroscience
por: Margaritella, Nicolò, et al.
Publicado: (2023)

Density regression via Dirichlet process mixtures of normal structured additive regression models
por: Rodríguez-Álvarez, María Xosé, et al.
Publicado: (2024)

The connection of the stability of the binary choice model with its discriminatory power
por: Pomazanov, M.
Publicado: (2025)

Likelihood-based Modeling of Covariate-Specific Time-Dependent ROC Curves
por: Sewak, Ainesh, et al.
Publicado: (2025)

Efficient and Globally Robust Causal Excursion Effect Estimation
por: Cheng, Zhaoxi, et al.
Publicado: (2023)

Advanced biomarker analysis for early Alzheimer's detection: a 3-class classification approach
por: Miguel, Sierra Marquina Victor, et al.
Publicado: (2025)

Estimating abilities with an Elo-informed growth model
por: Sigfrid, Karl, et al.
Publicado: (2024)

Joint estimation of the predictive ability of experts using a multi-output Gaussian process
por: Oelrich, Oscar, et al.
Publicado: (2024)

Modeling local predictive ability using power-transformed Gaussian processes
por: Oelrich, Oscar, et al.
Publicado: (2024)

A new coefficient of separation
por: Fuchs, Sebastian, et al.
Publicado: (2025)

Comparison of Weibull tail-coefficient estimators
por: Gardes, Laurent, et al.
Publicado: (2011)

VCBART: Bayesian trees for varying coefficients
por: Deshpande, Sameer K., et al.
Publicado: (2020)

A new coefficient to measure agreement between continuous variables
por: Vallejos, Ronny, et al.
Publicado: (2025)

Resolving power: A general approach to compare the distinguishing ability of threshold-free evaluation metrics
por: Beam, Colin S.
Publicado: (2023)

The Fréchet correlation coefficient for heterogeneous random objects
por: He, Shuaida, et al.
Publicado: (2026)

Confidence intervals for tree-structured varying coefficients
por: Spuck, Nikolai, et al.
Publicado: (2024)

Agreement coefficients for continuous variables: A review
por: Vallejos, Ronny
Publicado: (2026)

Non-zero block selector: A linear correlation coefficient measure for blocking-selection models
por: Liang, Weixiong, et al.
Publicado: (2024)

Predicting data value before collection: A coefficient for prioritizing sources under random distribution shift
por: Zhang, Ivy, et al.
Publicado: (2025)

Bayesian Mixture Models for Heterogeneous Extremes
por: Carcaiso, Viviana, et al.
Publicado: (2025)

SAR models with specific spatial coefficients and heteroskedastic innovations
por: Cruz, N. A., et al.
Publicado: (2025)

Predictive biomarker graphical approach (PRIME) for Precision medicine
por: D'Angelo, Gina, et al.
Publicado: (2025)

Joint modelling of time-dependent biomarker variability and time-to-event outcomes, a two-step approach
por: Oppong, Felix Boakye, et al.
Publicado: (2026)

A Kolmogorov-Arnold Neural Model for Cascading Extremes
por: de Carvalho, Miguel, et al.
Publicado: (2025)

Varying coefficient model for longitudinal data with informative observation times
por: Gu, Yu, et al.
Publicado: (2026)

Rank-based Maxsum test for high dimensional regression coefficient
por: Zhao, Ping, et al.
Publicado: (2026)

Hyperbolic statistical inference for Treatment Effects with Circular biomarker of astigmatism
por: Banerjee, Buddhananda, et al.
Publicado: (2026)

Asymptotic distribution of the global clustering coefficient in a random annulus graph
por: Yuan, Mingao
Publicado: (2025)

Functional varying-coefficient model under heteroskedasticity with application to DTI data
por: Niyogi, Pratim Guha, et al.
Publicado: (2022)

Fast spatio-temporally varying coefficient modeling with reluctant interaction selection
por: Murakami, Daisuke, et al.
Publicado: (2024)

Joint semi-parametric INAR bootstrap inference for model coefficients and innovation distribution
por: Faymonville, Maxime, et al.
Publicado: (2025)

Selection of functional predictors and smooth coefficient estimation for scalar-on-function regression models
por: Fathi, Hedayat, et al.
Publicado: (2025)

A tool to determine the degrees of freedom in tree-structured varying coefficient models
por: Spuck, Nikolai, et al.
Publicado: (2026)

Bayes factor functions for testing partial correlation coefficients
por: Datta, Saptati
Publicado: (2025)

Bayesian semiparametric modelling of biomarker variability in joint models
por: Chen, Sida, et al.
Publicado: (2025)

Selective randomization inference for subgroup effects with continuous biomarkers
por: Gao, Zijun
Publicado: (2025)

Locally sparse varying coefficient mixed model with application to longitudinal microbiome differential abundance
por: Fontaine, Simon, et al.
Publicado: (2026)

Regression analysis of multiplicative hazards model with time-dependent coefficient for sparse longitudinal covariates
por: Sun, Zhuowei, et al.
Publicado: (2023)