Saved in:
| Main Authors: | Chen, Zhengxi, Hartman, Holly |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.03319 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bayesian adaptive randomization in the I-SPY2 sequential multiple assignment randomized trial
by: Norwood, Peter, et al.
Published: (2025)
by: Norwood, Peter, et al.
Published: (2025)
A sequential, multiple assignment, randomized trial design with a tailoring function
by: Holly Hartman, et al.
Published: (2024)
by: Holly Hartman, et al.
Published: (2024)
An adaptive design for optimizing treatment assignment in randomized clinical trials
by: Zhang, Wei, et al.
Published: (2025)
by: Zhang, Wei, 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)
The role of assignment in defining and identifying causal effects in randomized trials
by: Dahabreh, Issa J., et al.
Published: (2024)
by: Dahabreh, Issa J., 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)
Integrating tumor burden with survival outcome for treatment effect evaluation in oncology trials
by: Bhandari, Saurabh, et al.
Published: (2025)
by: Bhandari, Saurabh, et al.
Published: (2025)
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)
A Bayesian joint model of multiple nonlinear longitudinal and competing risks outcomes for dynamic prediction in multiple myeloma: joint estimation and corrected two-stage approaches
by: Alvares, Danilo, et al.
Published: (2024)
by: Alvares, Danilo, 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)
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)
Time-varying treatment effect models in stepped-wedge cluster-randomized trials with multiple interventions
by: Chen, Zhe, et al.
Published: (2025)
by: Chen, Zhe, et al.
Published: (2025)
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)
Adaptive enrichment trial designs using joint modeling of longitudinal and time-to-event data
by: Burdon, Abigail J., et al.
Published: (2023)
by: Burdon, Abigail J., et al.
Published: (2023)
Jointly modeling multiple endpoints for efficient treatment effect estimation in randomized controlled trials
by: Wolf, Jack M., et al.
Published: (2025)
by: Wolf, Jack M., et al.
Published: (2025)
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)
Individualized treatment regimens under correlated data with multiple outcomes
by: Dolmatov, Misha, et al.
Published: (2025)
by: Dolmatov, Misha, et al.
Published: (2025)
Rank-based estimators of global treatment effects for cluster randomized trials with multiple endpoints
by: Smith, E. Davies, et al.
Published: (2024)
by: Smith, E. Davies, et al.
Published: (2024)
A Bayesian joint model of multiple longitudinal and categorical outcomes with application to multiple myeloma using permutation-based variable importance
by: Alvares, Danilo, et al.
Published: (2024)
by: Alvares, Danilo, et al.
Published: (2024)
Causal survival analysis under competing risks using longitudinal modified treatment policies
by: Díaz, Iván, et al.
Published: (2022)
by: Díaz, Iván, et al.
Published: (2022)
Estimands and doubly robust estimation for cluster-randomized trials with survival outcomes
by: Fang, Xi, et al.
Published: (2025)
by: Fang, Xi, 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)
Inference procedures in sequential trial emulation with survival outcomes: comparing confidence intervals based on the sandwich variance estimator, bootstrap and jackknife
by: Limozin, Juliette M., et al.
Published: (2024)
by: Limozin, Juliette M., et al.
Published: (2024)
A class of nonparametric methods for evaluating the effect of continuous treatments on survival outcomes
by: Jin, Yutong, et al.
Published: (2024)
by: Jin, Yutong, 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)
Robust Bayesian hierarchical models for basket trials enabling joint evaluation of toxicity and efficacy
by: Cao, Zhi, et al.
Published: (2025)
by: Cao, Zhi, et al.
Published: (2025)
Using off-treatment sequential multiple imputation for binary outcomes to address intercurrent events handled by a treatment policy strategy
by: Rehal, Sunita, et al.
Published: (2025)
by: Rehal, Sunita, et al.
Published: (2025)
Investigating the causal effects of multiple treatments using longitudinal data: a simulation study
by: Granger, Emily, et al.
Published: (2024)
by: Granger, Emily, et al.
Published: (2024)
Robust evaluation of treatment effects in longitudinal studies with truncation by death or other intercurrent events
by: Baklicharov, Georgi, et al.
Published: (2025)
by: Baklicharov, Georgi, et al.
Published: (2025)
Optimal estimation of generalized causal effects in cluster-randomized trials with multiple outcomes
by: Chen, Xinyuan, et al.
Published: (2026)
by: Chen, Xinyuan, et al.
Published: (2026)
Analysis of cohort stepped wedge cluster-randomized trials with non-ignorable dropout via joint modeling
by: Gasparini, Alessandro, et al.
Published: (2024)
by: Gasparini, Alessandro, et al.
Published: (2024)
Optimal scheduling of interim analyses in group sequential trials
by: He, Zhangyi, et al.
Published: (2025)
by: He, Zhangyi, et al.
Published: (2025)
The role of randomization inference in unraveling individual treatment effects in early phase vaccine trials
by: Chen, Zhe, et al.
Published: (2023)
by: Chen, Zhe, et al.
Published: (2023)
Doubly protected estimation for survival outcomes utilizing external controls for randomized clinical trials
by: Gao, Chenyin, et al.
Published: (2024)
by: Gao, Chenyin, et al.
Published: (2024)
A novel longitudinal rank-sum test for multiple primary endpoints in clinical trials: Applications to neurodegenerative disorders
by: Xu, Xiaoming, et al.
Published: (2024)
by: Xu, Xiaoming, et al.
Published: (2024)
An optimal dynamic treatment regime estimator for indefinite-horizon survival outcomes
by: She, Jane, et al.
Published: (2025)
by: She, Jane, et al.
Published: (2025)
Benchmarking multi-step methods for the dynamic prediction of survival with numerous longitudinal predictors
by: Signorelli, Mirko, et al.
Published: (2024)
by: Signorelli, Mirko, et al.
Published: (2024)
Estimating the average treatment effect in cluster-randomized trials with misclassified outcomes and non-random validation subsets
by: Isenberg, Dane, et al.
Published: (2025)
by: Isenberg, Dane, et al.
Published: (2025)
A Bayesian nonparametric approach to mediation and spillover effects with multiple mediators in cluster-randomized trials
by: Ohnishi, Yuki, et al.
Published: (2024)
by: Ohnishi, Yuki, et al.
Published: (2024)
Evaluation of the npde performance for the evaluation of joint model with longitudinal and TTE data: an application in metastatic hormono-resistant prostate cancer
by: Cerou, Marc, et al.
Published: (2026)
by: Cerou, Marc, et al.
Published: (2026)
Similar Items
-
Bayesian adaptive randomization in the I-SPY2 sequential multiple assignment randomized trial
by: Norwood, Peter, et al.
Published: (2025) -
A sequential, multiple assignment, randomized trial design with a tailoring function
by: Holly Hartman, et al.
Published: (2024) -
An adaptive design for optimizing treatment assignment in randomized clinical trials
by: Zhang, Wei, 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) -
The role of assignment in defining and identifying causal effects in randomized trials
by: Dahabreh, Issa J., et al.
Published: (2024)