Imagen de Portada

A general Bayesian approach to design adaptive clinical trials with time-to-event outcomes

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	McGree, James M., Overstall, Antony M., Jones, Mark, Mahar, Robert K.
Formato:	Preprint
Publicado:	2023
Materias:	Methodology
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

General Bayesian L2 calibration of mathematical models
por: Overstall, Antony M., et al.
Publicado: (2021)

Gibbs optimal design of experiments
por: Overstall, Antony M., et al.
Publicado: (2023)

Bayesian design for mathematical models of fruit growth based on misspecified prior information
por: Najimuddin, Nushrath, et al.
Publicado: (2024)

Economical Experimental Design with Generalized Posteriors
por: Hagar, Luke, et al.
Publicado: (2026)

A subsampling approach for large data sets when the Generalised Linear Model is potentially misspecified
por: Mahendran, Amalan, et al.
Publicado: (2025)

fdesigns: Bayesian Optimal Designs of Experiments for Functional Models in R
por: Michaelides, Damianos, et al.
Publicado: (2024)

Optimal design of dynamic experiments for scalar-on-function linear models with application to a biopharmaceutical study
por: Michaelides, Damianos, et al.
Publicado: (2021)

Confirmatory adaptive group sequential designs for clinical trials with multiple time-to-event outcomes in Markov models
por: Danzer, Moritz Fabian, et al.
Publicado: (2023)

Evaluating the performance of Bayesian cumulative logistic models in randomised controlled trials: a simulation study
por: Selman, Chris J., et al.
Publicado: (2025)

Estimand framework and intercurrent events handling for clinical trials with time-to-event outcomes
por: Fang, Yixin, et al.
Publicado: (2025)

Optimal Bayesian stepped-wedge cluster randomised trial designs for binary outcome data
por: Etfer, Laura, et al.
Publicado: (2024)

Bayesian integration G-formula for platform SMART designs allowing for adding new treatments
por: Wang, Xinru, et al.
Publicado: (2026)

A time-to-event three-outcome design for randomized phase II cancer trials
por: Shan, Minghua
Publicado: (2025)

Exact statistical analysis for response-adaptive clinical trials: A general and computationally tractable approach
por: Baas, Stef, et al.
Publicado: (2024)

Event-driven type design for clinical trials with recurrent events
por: Zhang, Jingwen, et al.
Publicado: (2026)

An adaptive design for optimizing treatment assignment in randomized clinical trials
por: Zhang, Wei, et al.
Publicado: (2025)

Evaluating the effect of different non-informative prior specifications on the Bayesian proportional odds model in randomised controlled trials: a simulation study
por: Selman, Chris J., et al.
Publicado: (2025)

A Bayesian semi-parametric approach to causal mediation for longitudinal mediators and time-to-event outcomes with application to a cardiovascular disease cohort study
por: Bhandari, Saurabh, et al.
Publicado: (2024)

Meta-analysis and network meta-analysis of time-to-event outcomes with non-proportional hazards: a Bayesian time-varying hazard ratio approach
por: Owen, Rhiannon K, et al.
Publicado: (2026)

Zero-Truncated Modelling in a Meta-Analysis on Suicide Data after Bariatric Surgery
por: Dennett, Layna Charlie, et al.
Publicado: (2023)

A Bayesian approach for unadjudicated events in cardiovascular disease cohort studies
por: Islam, Mirajul, et al.
Publicado: (2025)

Bayesian analysis of the causal reference-based model for missing data in clinical trials, accommodating partially observed post-intercurrent event data
por: Nansereko, Brendah, et al.
Publicado: (2026)

The role of post intercurrent event data in the estimation of hypothetical estimands in clinical trials
por: Bartlett, Jonathan W., et al.
Publicado: (2025)

Constrained Markov decision processes for response-adaptive procedures in clinical trials with binary outcomes
por: Baas, Stef, et al.
Publicado: (2024)

Adaptive enrichment trial designs using joint modeling of longitudinal and time-to-event data
por: Burdon, Abigail J., et al.
Publicado: (2023)

Optimal Bayesian predictive probability for delayed response in single-arm clinical trials with binary efficacy outcome
por: Yoshimoto, Takuya, et al.
Publicado: (2024)

Bayesian analysis of the causal reference-based model for missing data in clinical trials
por: Nansereko, Brendah, et al.
Publicado: (2025)

A generalized Bayesian approach to multiple changepoint analysis
por: Wang, Yuhui, et al.
Publicado: (2026)

Q-approximation of operating characteristics of clinical trial designs
por: Gentile, Susanna, et al.
Publicado: (2026)

Adaptive clinical trial design with delayed treatment effects using elicited prior distributions
por: Salsbury, James, et al.
Publicado: (2025)

Communicating results in trials with multiple hypotheses or adaptive design features
por: Asikanius, Elina, et al.
Publicado: (2026)

A Bayesian model-free dose-finding approach in Phase II clinical trials with the flexibility of historical borrowing
por: Han, Linxi, et al.
Publicado: (2025)

A path-specific effect approach to mediation analysis with time-varying mediators and time-to-event outcomes accounting for competing risks
por: Domingo-Relloso, Arce, et al.
Publicado: (2024)

Assurance Methods for designing a clinical trial with a delayed treatment effect
por: Salsbury, James, et al.
Publicado: (2023)

A comparison of approaches to incorporate patient-selected and patient-ranked outcomes in clinical trials
por: Robertson, David S., et al.
Publicado: (2025)

Sample size reassessment in Bayesian hybrid clinical trials
por: Ratta, Marco, et al.
Publicado: (2025)

Cross-validated risk scores adaptive enrichment (CADEN) design
por: Cherlin, Svetlana, et al.
Publicado: (2021)

Dose optimization design accounting for unknown patient heterogeneity in cancer clinical trials
por: Silva, Rebecca B., et al.
Publicado: (2025)

Subgroup analysis methods for time-to-event outcomes in heterogeneous randomized controlled trials
por: Perrin, Valentine, et al.
Publicado: (2024)

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