Imagen de Portada

Bridging the gap between two‐stage and joint models: The case of tumor growth inhibition and overall survival models

Fuente: Wiley Open Access

Guardado en:

Detalles Bibliográficos
Autores principales:	Danilo Alvares, François Mercier
Formato:	Artículo Open Access
Publicado:	Wiley 2024
Materias:	Statistics in Medicine
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Bayesian survival analysis with INLA
por: Danilo Alvares, et al.
Publicado: (2024)

A latent variable approach to jointly modeling longitudinal and cumulative event data using a weighted two‐stage method
por: Madeline R. Abbott, et al.
Publicado: (2024)

Mediation Analysis With Bayesian Nonlinear Joint Models: Evaluation of the Treatment Causal Pathways Between Tumor Growth Kinetics and Overall Survival
por: Georgios Kazantzidis, et al.
Publicado: (2026)

Enhancing long‐term survival prediction with two short‐term events: Landmarking with a flexible varying coefficient model
por: Wen Li, et al.
Publicado: (2024)

Optimizing dynamic predictions from joint models using super learning
por: Dimitris Rizopoulos, et al.
Publicado: (2024)

Two‐stage stratified designs with survival outcomes and adjustment for misclassification in predictive biomarkers
por: Yanping Chen, et al.
Publicado: (2024)

A joint frailty model for recurrent and competing terminal events: Application to delirium in the ICU
por: Lacey H. Etzkorn, et al.
Publicado: (2024)

A novel block‐coordinate gradient descent algorithm for simultaneous grouped selection of fixed and random effects in joint modeling
por: Shuyan Chen, et al.
Publicado: (2024)

Balancing versus modelling in weighted analysis of non‐randomised studies with survival outcomes: A simulation study
por: Tim Filla, et al.
Publicado: (2024)

Random effects models of tumour growth for investigating interval breast cancer
por: Letizia Orsini, et al.
Publicado: (2024)

BHAFT: Bayesian heredity‐constrained accelerated failure time models for detecting gene‐environment interactions in survival analysis
por: Na Sun, et al.
Publicado: (2024)

Optimal subsampling for semi‐parametric accelerated failure time models with massive survival data using a rank‐based approach
por: Zehan Yang, et al.
Publicado: (2024)

A two‐stage group‐sequential design for delayed treatment responses with the possibility of trial restart
por: Stephen Schüürhuis, et al.
Publicado: (2024)

Using a monotonic density ratio model to increase the power of the goodness‐of‐fit test for logistic regression models with case‐control data
por: Chunlin Wang, et al.
Publicado: (2024)

Tumor growth and overall survival modeling to support decision making in phase Ib/II trials: A comparison of the joint and two‐stage approaches
por: Mathilde Marchand, et al.
Publicado: (2024)

A Bayesian framework for modeling COVID‐19 case numbers through longitudinal monitoring of SARS‐CoV‐2 RNA in wastewater
por: Xiaotian Dai, et al.
Publicado: (2024)

Statistical considerations in model‐based dose finding for binary responses under model uncertainty
por: Zhiwu Yan, et al.
Publicado: (2024)

Optimal model averaging for partially linear models with missing response variables and error‐prone covariates
por: Zhongqi Liang, et al.
Publicado: (2024)

Robust best linear weighted estimator with missing covariates in survival analysis
por: Ching‐Yun Wang, et al.
Publicado: (2024)

Bayesian mixture modelling with ranked set samples
por: Amirhossein Alvandi, et al.
Publicado: (2024)

Transportability of model‐based estimands in evidence synthesis
por: Antonio Remiro‐Azócar
Publicado: (2024)

Calibration plots for multistate risk prediction models
por: Alexander Pate, et al.
Publicado: (2024)

Exact test and exact confidence interval for the Cox model
por: Yongwu Shao, et al.
Publicado: (2024)

Efficient estimation of Cox model with random change point
por: Xuerong Chen, et al.
Publicado: (2024)

Marginally Interpretable Spatial Logistic Regression With Bridge Processes
por: Changwoo J. Lee, et al.
Publicado: (2026)

Adding experimental treatment arms to multi‐arm multi‐stage platform trials in progress
por: Thomas Burnett, et al.
Publicado: (2024)

Detecting changes in the transmission rate of a stochastic epidemic model
por: Jenny Huang, et al.
Publicado: (2024)

Simultaneous variable selection and estimation for survival data via the Gaussian seamless‐L0$$ {L}_0 $$ penalty
por: Zili Liu, et al.
Publicado: (2024)

Robust analysis of stepped wedge trials using composite likelihood models
por: Emily C. Voldal, et al.
Publicado: (2024)

Sample size determination for prediction models via learning‐type curves
por: Alimu Dayimu, et al.
Publicado: (2024)

A sparse factor model for clustering high‐dimensional longitudinal data
por: Zihang Lu, et al.
Publicado: (2024)

τ$$ \tau $$‐Inflated beta regression model for censored recurrent events
por: Yizhuo Wang, et al.
Publicado: (2024)

Generalized single index modeling of longitudinal data with multiple binary responses
por: Zibo Tian, et al.
Publicado: (2024)

Multivariate probit linear mixed models for multivariate longitudinal binary data
por: Kuo‐Jung Lee, et al.
Publicado: (2024)

Review of weighted exponential random graph models frameworks applied to neuroimaging
por: Yefeng Fan, et al.
Publicado: (2024)

A Bayesian nonparametric meta‐analysis model for estimating the reference interval
por: Wenhao Cao, et al.
Publicado: (2024)

Two‐stage randomized clinical trials with a right‐censored endpoint: Comparison of frequentist and Bayesian adaptive designs
por: Luana Boumendil, et al.
Publicado: (2024)

A simulation study of the performance of statistical models for count outcomes with excessive zeros
por: Zhengyang Zhou, et al.
Publicado: (2024)

A modeling framework for the analysis of the SARS‐CoV2 transmission dynamics
por: Anastasia Chatzilena, et al.
Publicado: (2024)

Beyond the two‐trials rule
por: Leonhard Held
Publicado: (2024)