Adaptive enrichment trial designs using joint modeling of longitudinal and time-to-event data
Fuente:
arXiv
Saved in:
| Main Authors: | Burdon, Abigail J., Baird, Richard D., Jaki, Thomas |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Next generation clinical trials: Seamless designs and master protocols
by: Burdon, Abigail, et al.
Published: (2024)
by: Burdon, Abigail, et al.
Published: (2024)
Multivariate group sequential tests for global summary statistics
by: Burdon, Abigail J., et al.
Published: (2024)
by: Burdon, Abigail J., et al.
Published: (2024)
Using joint models in phase I dose-finding designs in oncology: considerations for frequentist approaches
by: Chen, Xijin, et al.
Published: (2025)
by: Chen, Xijin, et al.
Published: (2025)
Personalized feature threshold estimation in joint modelling of longitudinal and time-to-event data
by: Islam, Mirajul, et al.
Published: (2025)
by: Islam, Mirajul, et al.
Published: (2025)
A time-varying bivariate copula joint model for longitudinal and time-to-event data
by: Zhang, Zili, et al.
Published: (2022)
by: Zhang, Zili, et al.
Published: (2022)
Making all pairwise comparisons in multi-arm clinical trials without control treatment
by: Burnett, Thomas, et al.
Published: (2024)
by: Burnett, Thomas, et al.
Published: (2024)
A multi-arm multi-stage design for trials with all pairwise testing
by: Greenstreet, Peter, et al.
Published: (2025)
by: Greenstreet, Peter, et al.
Published: (2025)
Optimal weighted tests for replication studies and the two-trials rule
by: Robertson, David S., et al.
Published: (2025)
by: Robertson, David S., et al.
Published: (2025)
Approximate Bayesian inference for joint partially linear modeling of longitudinal measurements and spatial time-to-event data
by: Baghfalaki, Taban, et al.
Published: (2025)
by: Baghfalaki, Taban, et al.
Published: (2025)
A joint model for (un)bounded longitudinal markers, competing risks, and recurrent events using patient registry data
by: Afonso, Pedro Miranda, et al.
Published: (2024)
by: Afonso, Pedro Miranda, et al.
Published: (2024)
A comparison of approaches to incorporate patient-selected and patient-ranked outcomes in clinical trials
by: Robertson, David S., et al.
Published: (2025)
by: Robertson, David S., et al.
Published: (2025)
Sample size and power determination for assessing overall SNP effects in joint modeling of longitudinal and time-to-event data
by: Bian, Yuan, et al.
Published: (2026)
by: Bian, Yuan, et al.
Published: (2026)
A joint spatiotemporal model for multiple longitudinal markers and competing events
by: Ortholand, Juliette, et al.
Published: (2025)
by: Ortholand, Juliette, et al.
Published: (2025)
Bayesian joint modelling of longitudinal biomarkers to enable extrapolation of overall survival: an application using larotrectinib trial clinical data
by: Linsell, Louise, et al.
Published: (2025)
by: Linsell, Louise, et al.
Published: (2025)
A Bayesian location-scale joint model for time-to-event and multivariate longitudinal data with association based on within-individual variability
by: Palma, Marco, et al.
Published: (2025)
by: Palma, Marco, et al.
Published: (2025)
Causal mediation analysis for longitudinal and survival data in continuous time using Bayesian non-parametric joint models
by: Bhandari, Saurabh, et al.
Published: (2025)
by: Bhandari, Saurabh, et al.
Published: (2025)
Confidence intervals for adaptive trial designs I: A methodological review
by: Robertson, David S., et al.
Published: (2024)
by: Robertson, David S., et al.
Published: (2024)
Imputing missing not-at-random longitudinal marker values in time-to-event analysis: fully conditional specification multiple imputation in joint modeling
by: Murad, Havi, et al.
Published: (2024)
by: Murad, Havi, et al.
Published: (2024)
Confidence intervals for adaptive trial designs II: Case study and practical guidance
by: Robertson, David S., et al.
Published: (2024)
by: Robertson, David S., et al.
Published: (2024)
A Bayesian joint longitudinal-survival model with a latent stochastic process for intensive longitudinal data
by: Abbott, Madeline R., et al.
Published: (2024)
by: Abbott, Madeline R., et al.
Published: (2024)
A general joint latent class model of longitudinal and survival data with the covariance modelling
by: Miao, Ruoyu, et al.
Published: (2025)
by: Miao, Ruoyu, et al.
Published: (2025)
Joint modelling of time-to-event and longitudinal response using robust skew normal-independent distributions
by: Dutta, Srimanti, et al.
Published: (2024)
by: Dutta, Srimanti, et al.
Published: (2024)
Modern Clinical Trials: Seamless Designs and Master Protocols
by: Abigail Burdon, et al.
Published: (2026)
by: Abigail Burdon, et al.
Published: (2026)
Variable selection in the joint frailty model of recurrent and terminal events using Broken Adaptive Ridge regression
by: Chan, Christian, et al.
Published: (2024)
by: Chan, Christian, et al.
Published: (2024)
A general Bayesian approach to design adaptive clinical trials with time-to-event outcomes
by: McGree, James M., et al.
Published: (2023)
by: McGree, James M., et al.
Published: (2023)
A time-to-event three-outcome design for randomized phase II cancer trials
by: Shan, Minghua
Published: (2025)
by: Shan, Minghua
Published: (2025)
On a penalised likelihood approach for joint modelling of longitudinal covariates and partly interval-censored data -- an application to the Anti-PD1 brain collaboration trial
by: Webb, Annabel, et al.
Published: (2024)
by: Webb, Annabel, et al.
Published: (2024)
Joint analysis for multivariate longitudinal and event time data with a change point anchored at interval-censored event time
by: Zhan, Yue, et al.
Published: (2026)
by: Zhan, Yue, et al.
Published: (2026)
An efficient joint model for high dimensional longitudinal and survival data via generic association features
by: Nguyen, Van Tuan, et al.
Published: (2023)
by: Nguyen, Van Tuan, et al.
Published: (2023)
Event-driven type design for clinical trials with recurrent events
by: Zhang, Jingwen, et al.
Published: (2026)
by: Zhang, Jingwen, et al.
Published: (2026)
A fast, flexible simulation framework for Bayesian adaptive designs -- the R package BATSS
by: Couturier, Dominique-Laurent, et al.
Published: (2024)
by: Couturier, Dominique-Laurent, et al.
Published: (2024)
Fast and flexible inference for joint models of multivariate longitudinal and survival data using Integrated Nested Laplace Approximations
by: Rustand, Denis, et al.
Published: (2022)
by: Rustand, Denis, et al.
Published: (2022)
A joint longitudinal-survival framework for dynamic treatment regimen evaluation in sequential multiple assignment randomized trials
by: Chen, Zhengxi, et al.
Published: (2026)
by: Chen, Zhengxi, et al.
Published: (2026)
Dynamic prediction of an event using multiple longitudinal markers: a model averaging approach
by: Hashemi, Reza, et al.
Published: (2024)
by: Hashemi, Reza, et al.
Published: (2024)
Jointly modeling time-to-event and longitudinal data with individual-specific change points: a case study in modeling tumor burden
by: Alt, Ethan M., et al.
Published: (2024)
by: Alt, Ethan M., et al.
Published: (2024)
An adaptive enrichment design using Bayesian model averaging for selection and threshold-identification of tailoring variables
by: Maleyeff, Lara, et al.
Published: (2024)
by: Maleyeff, Lara, et al.
Published: (2024)
A new approach for Bayesian joint modeling of longitudinal and cure-survival outcomes using the defective Gompertz distribution
by: Neto, Dionisio Silva, et al.
Published: (2025)
by: Neto, Dionisio Silva, et al.
Published: (2025)
Adaptive clinical trial design with delayed treatment effects using elicited prior distributions
by: Salsbury, James, et al.
Published: (2025)
by: Salsbury, James, et al.
Published: (2025)
Power and sample size calculation for multivariate longitudinal trials using the longitudinal rank sum test
by: Ghosh, Dhrubajyoti, et al.
Published: (2025)
by: Ghosh, Dhrubajyoti, et al.
Published: (2025)
Operationalizing Allocation Probability Tests: Practical Guidance on Optimized Implementation for Power and Robustness
by: Zetterstrom, Stina, et al.
Published: (2026)
by: Zetterstrom, Stina, et al.
Published: (2026)
Similar Items
-
Next generation clinical trials: Seamless designs and master protocols
by: Burdon, Abigail, et al.
Published: (2024) -
Multivariate group sequential tests for global summary statistics
by: Burdon, Abigail J., et al.
Published: (2024) -
Using joint models in phase I dose-finding designs in oncology: considerations for frequentist approaches
by: Chen, Xijin, et al.
Published: (2025) -
Personalized feature threshold estimation in joint modelling of longitudinal and time-to-event data
by: Islam, Mirajul, et al.
Published: (2025) -
A time-varying bivariate copula joint model for longitudinal and time-to-event data
by: Zhang, Zili, et al.
Published: (2022)