Copertina

Transformation Discriminant Analysis for Constructing Optimal Biomarker Combinations

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Sewak, Ainesh, Siegfried, Sandra, Hothorn, Torsten
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Methodology
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

Smooth Transformation Models for Survival Analysis: A Tutorial Using R
di: Siegfried, Sandra, et al.
Pubblicazione: (2024)

On Nonparanormal Likelihoods
di: Hothorn, Torsten
Pubblicazione: (2024)

Nonparanormal Adjusted Marginal Inference
di: Dandl, Susanne, et al.
Pubblicazione: (2025)

Joint Estimation of Marginal and Heterogeneous Treatment Effects
di: Wuethrich, Leticia, et al.
Pubblicazione: (2026)

Generalised Linear Model Trees with Global Additive Effects
di: Seibold, Heidi, et al.
Pubblicazione: (2016)

Multi-species count transformation models
di: Graz, Lukas, et al.
Pubblicazione: (2022)

Simultaneous comparisons of the variances of k treatments with that of a control: a Levene-Dunnett type procedure
di: Hothorn, Ludwig A.
Pubblicazione: (2024)

Bartholomew's trend test -- approximated by a multiple contrast test
di: Hothorn, Ludwig A.
Pubblicazione: (2024)

Unlocking Insights: Enhanced Analysis of Covariance in General Factorial Designs through Multiple Contrast Tests under Variance Heteroscedasticity
di: Becher, Matthias, et al.
Pubblicazione: (2024)

Estimating the Optimal Linear Combination of Biomarkers using Spherically Constrained Optimization
di: Das, Priyam, et al.
Pubblicazione: (2019)

Circular Regression Trees and Forests with an Application to Probabilistic Wind Direction Forecasting
di: Lang, Moritz N., et al.
Pubblicazione: (2020)

What Makes Forest-Based Heterogeneous Treatment Effect Estimators Work?
di: Dandl, Susanne, et al.
Pubblicazione: (2022)

Regularized Sparse Optimal Discriminant Clustering
di: Hiraishi, Mayu, et al.
Pubblicazione: (2025)

Model-based causal feature selection for general response types
di: Kook, Lucas, et al.
Pubblicazione: (2023)

Multivariate Functional Linear Discriminant Analysis: An Application to Inflammatory Bowel Disease Classification
di: Liu, Limeng, et al.
Pubblicazione: (2025)

Optimal Discriminant Analysis in High-Dimensional Latent Factor Models
di: Bing, Xin, et al.
Pubblicazione: (2022)

Cellwise Robust Discriminant Analysis
di: Centofanti, Fabio, et al.
Pubblicazione: (2026)

Ultrahigh-dimensional Quadratic Discriminant Analysis Using Random Projections
di: Deb, Annesha, et al.
Pubblicazione: (2025)

Developing Performance-Guaranteed Biomarker Combination Rules with Integrated External Information under Practical Constraint
di: Osom, Albert, et al.
Pubblicazione: (2026)

A Riemannian Framework for Linear and Quadratic Discriminant Analysis on the Tangent Space of Shapes
di: Pal, Susovan, et al.
Pubblicazione: (2025)

Leveraging External Data for Testing Experimental Therapies with Biomarker Interactions in Randomized Clinical Trials
di: Ren, Boyu, et al.
Pubblicazione: (2025)

Spatial Sign based Direct Sparse Linear Discriminant Analysis for High Dimensional Data
di: Zhuang, Dan, et al.
Pubblicazione: (2025)

High-Dimensional Tensor Discriminant Analysis with Incomplete Tensors
di: Chen, Elynn, et al.
Pubblicazione: (2024)

Multi-Group Quadratic Discriminant Analysis via Projection
di: Wang, Yuchao, et al.
Pubblicazione: (2026)

A Spatial-Sign based Direct Approach for High Dimensional Sparse Quadratic Discriminant Analysis
di: Shen, Anqing, et al.
Pubblicazione: (2025)

Bayesian Optimization for Identification of Optimal Biological Dose Combinations in Personalized Dose-Finding Trials
di: Willard, James, et al.
Pubblicazione: (2024)

Optimal Adjustment and Combination of Independent Discrete $p$-Values
di: Contador, Gonzalo, et al.
Pubblicazione: (2025)

SIMBA -- A Bayesian Decision Framework for the Identification of Optimal Biomarker Subgroups for Cancer Basket Clinical Trials
di: Yuan, Shijie, et al.
Pubblicazione: (2025)

Survival Analysis with Discrete Biomarkers Under a Semiparametric Bayesian Conditional Poisson Model
di: Yang, Aijun, et al.
Pubblicazione: (2025)

Constructing Bayesian Optimal Designs for Discrete Choice Experiments by Simulated Annealing
di: Mao, Yicheng, et al.
Pubblicazione: (2024)

Optimal Cut-Point Estimation for Functional Digital Biomarkers: Application to Diabetes Risk Stratification via Continuous Glucose Monitoring
di: Lado-Baleato, Oscar, et al.
Pubblicazione: (2024)

On the Comparative Analysis of Average Treatment Effects Estimation via Data Combination
di: Wu, Peng, et al.
Pubblicazione: (2023)

Discriminant Analysis in stationary time series based on robust cepstral coefficients
di: Matias, Jonathan de Souza, et al.
Pubblicazione: (2024)

Nonparametric Linear Discriminant Analysis for High Dimensional Matrix-Valued Data
di: Oh, Seungyeon, et al.
Pubblicazione: (2025)

High-Dimensional Tensor Classification with CP Low-Rank Discriminant Structure
di: Chen, Elynn, et al.
Pubblicazione: (2024)

Discrimination performance in illness-death models with interval-censored disease data
di: Spreafico, Marta, et al.
Pubblicazione: (2025)

A New Forward Discriminant Analysis Framework Based On Pillai's Trace and ULDA
di: Wang, Siyu, et al.
Pubblicazione: (2024)

Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions
di: Deliu, Nina, et al.
Pubblicazione: (2022)

Research as Social Construction: Transformative Inquiry
di: Sheila McNamee
Pubblicazione: (2010)