Potential outcome simulation for efficient head-to-head comparison of adaptive dose-finding designs
Fuente:
arXiv
Saved in:
| Main Authors: | Sweeting, Michael, Slade, Daniel, Jackson, Dan, Brock, Kristian |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Simulation-based assessment of a Bayesian survival model with flexible baseline hazard and time-dependent effects
by: Timmins, Iain R., et al.
Published: (2025)
by: Timmins, Iain R., et al.
Published: (2025)
A simulation and case study to evaluate the extrapolation performance of flexible Bayesian survival models when incorporating real-world data
by: Timmins, Iain R., et al.
Published: (2025)
by: Timmins, Iain R., et al.
Published: (2025)
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)
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)
Balancing the effective sample size in prior across different doses in the curve-free Bayesian decision-theoretic design for dose-finding trials
by: Xu, Jiapeng, et al.
Published: (2025)
by: Xu, Jiapeng, et al.
Published: (2025)
BARD: A seamless two-stage dose optimization design integrating backfill and adaptive randomization
by: Zhao, Yixuan, et al.
Published: (2024)
by: Zhao, Yixuan, et al.
Published: (2024)
Online Bootstrap Inference for the Trend of Nonstationary Time Series
by: Nagler, Thomas, et al.
Published: (2026)
by: Nagler, Thomas, et al.
Published: (2026)
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)
Tensor-variate Gaussian process regression for efficient emulation of complex systems: comparing regressor and covariance structures in outer product and parallel partial emulators
by: Semochkina, Daria, et al.
Published: (2025)
by: Semochkina, Daria, et al.
Published: (2025)
Noise-free comparison of stochastic agent-based simulations using common random numbers
by: Klein, Daniel J., et al.
Published: (2024)
by: Klein, Daniel J., et al.
Published: (2024)
The benefit of dose-exposure-response modeling in the estimation of dose-response relationship and dose optimization: some theoretical and simulation evidence
by: Wang, Jixian, et al.
Published: (2025)
by: Wang, Jixian, et al.
Published: (2025)
Stable and practical semi-Markov modelling of intermittently-observed data
by: Jackson, Christopher
Published: (2025)
by: Jackson, Christopher
Published: (2025)
Bayesian design and analysis of two-arm cluster randomised trials using assurance: extension to binary outcomes and comparison of MCMC and INLA
by: Aloufi, Abdullah, et al.
Published: (2025)
by: Aloufi, Abdullah, et al.
Published: (2025)
First head-to-head comparison of agentic AI applied to the analysis of simulated data of the Einstein Telescope
by: Inguglia, Gianluca
Published: (2026)
by: Inguglia, Gianluca
Published: (2026)
Estimating psychometric functions from adaptive designs
by: Kristensen, Simon Bang, et al.
Published: (2022)
by: Kristensen, Simon Bang, et al.
Published: (2022)
Methods for adjusting for covariate measurement error in flexible modelling of functional form: designing a blinded, controlled neutral comparison simulation study
by: Thiébaut, Anne C M, et al.
Published: (2026)
by: Thiébaut, Anne C M, et al.
Published: (2026)
A Bayesian design for dual-agent dose optimization with targeted therapies
by: Jiménez, José L., et al.
Published: (2022)
by: Jiménez, José L., et al.
Published: (2022)
Confidence intervals for functionals in constrained inverse problems via data-adaptive sampling-based calibration
by: Stanley, Michael, et al.
Published: (2025)
by: Stanley, Michael, et al.
Published: (2025)
Efficient optimization of expensive black-box simulators via marginal means, with application to neutrino detector design
by: Kim, Hwanwoo, et al.
Published: (2025)
by: Kim, Hwanwoo, et al.
Published: (2025)
A Bayesian model-free dose-finding approach in Phase II clinical trials with the flexibility of historical borrowing
by: Han, Linxi, et al.
Published: (2025)
by: Han, Linxi, et al.
Published: (2025)
Optimal designs for identifying effective doses in drug combination studies
by: Schürmeyer, Leonie, et al.
Published: (2025)
by: Schürmeyer, Leonie, et al.
Published: (2025)
CUI-MET: Clinical Utility Index Dose Optimization Approach for Multiple-Dose, Multiple-Outcome Randomized Trial Designs
by: Zhang, Fanni, et al.
Published: (2025)
by: Zhang, Fanni, et al.
Published: (2025)
Unbiased estimation in two-stage adaptive enrichment designs
by: Li, Enyu, et al.
Published: (2026)
by: Li, Enyu, et al.
Published: (2026)
Sequential adaptive design for emulating costly computer codes
by: Mohammadi, Hossein, et al.
Published: (2022)
by: Mohammadi, Hossein, et al.
Published: (2022)
Optimal Bayesian stepped-wedge cluster randomised trial designs for binary outcome data
by: Etfer, Laura, et al.
Published: (2024)
by: Etfer, Laura, et al.
Published: (2024)
Evaluating the impact of outcome delay on the efficiency of sample size re-estimation
by: Mukherjee, Aritra, et al.
Published: (2026)
by: Mukherjee, Aritra, et al.
Published: (2026)
MAFS: Multi-head Attention Feature Selection for High-Dimensional Data via Deep Fusion of Filter Methods
by: Sun, Xiaoyan, et al.
Published: (2026)
by: Sun, Xiaoyan, et al.
Published: (2026)
Causal interpretation of the sibling comparison and its relation to the cross-over design
by: Kristensen, Simon Bang, et al.
Published: (2025)
by: Kristensen, Simon Bang, et al.
Published: (2025)
Knowing what to know: Implications of the choice of prior distribution on the behavior of adaptive design optimization
by: Sloman, Sabina J., et al.
Published: (2023)
by: Sloman, Sabina J., et al.
Published: (2023)
Spatially continuous modelling of aggregated outcome data
by: Villejo, Stephen Jun, et al.
Published: (2026)
by: Villejo, Stephen Jun, et al.
Published: (2026)
Cross-validated risk scores adaptive enrichment (CADEN) design
by: Cherlin, Svetlana, et al.
Published: (2021)
by: Cherlin, Svetlana, et al.
Published: (2021)
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)
Confidence intervals for two-stage adaptive designs with subpopulation selection
by: Li, Enyu, et al.
Published: (2026)
by: Li, Enyu, et al.
Published: (2026)
Communicating results in trials with multiple hypotheses or adaptive design features
by: Asikanius, Elina, et al.
Published: (2026)
by: Asikanius, Elina, et al.
Published: (2026)
A comparison of the discrimination performance of lasso and maximum likelihood estimation in logistic regression model
by: Junior, Gilberto P. Alcântara, et al.
Published: (2024)
by: Junior, Gilberto P. Alcântara, et al.
Published: (2024)
Modelling intransitivity in pairwise comparisons with application to baseball data
by: Spearing, Jess, et al.
Published: (2021)
by: Spearing, Jess, et al.
Published: (2021)
Bayesian analysis for pretest-posttest binary outcomes with adaptive significance levels
by: Hoyos, Alejandra Estefanía Patiño, et al.
Published: (2024)
by: Hoyos, Alejandra Estefanía Patiño, et al.
Published: (2024)
Revisiting the apparent discrepancy between the frequentist and Bayesian interpretation of an adaptive design
by: Kristensen, Simon Bang, et al.
Published: (2025)
by: Kristensen, Simon Bang, et al.
Published: (2025)
Extending the saemix package for R to fit non Gaussian outcomes
by: Comets, Emmanuelle, et al.
Published: (2026)
by: Comets, Emmanuelle, et al.
Published: (2026)
Computationally efficient variational-like approximations of possibilistic inferential models
by: Cella, Leonardo, et al.
Published: (2024)
by: Cella, Leonardo, et al.
Published: (2024)
Similar Items
-
Simulation-based assessment of a Bayesian survival model with flexible baseline hazard and time-dependent effects
by: Timmins, Iain R., et al.
Published: (2025) -
A simulation and case study to evaluate the extrapolation performance of flexible Bayesian survival models when incorporating real-world data
by: Timmins, Iain R., et al.
Published: (2025) -
A fast, flexible simulation framework for Bayesian adaptive designs -- the R package BATSS
by: Couturier, Dominique-Laurent, 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) -
Balancing the effective sample size in prior across different doses in the curve-free Bayesian decision-theoretic design for dose-finding trials
by: Xu, Jiapeng, et al.
Published: (2025)