Cover Image

Designing and evaluating advanced adaptive randomised clinical trials: a practical guide

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Granholm, Anders, Jensen, Aksel Karl Georg, Lange, Theis, Perner, Anders, Møller, Morten Hylander, Kaas-Hansen, Benjamin Skov
Format:	Preprint
Published:	2025
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Designing and Evaluating Bayesian Advanced Adaptive Randomised Clinical Trials: A Practical Guide
by: Anders Granholm, et al.
Published: (2025)

Serious adverse events reporting in recent randomised clinical trials in intensive care medicine – A methodological study protocol
by: Marie Qvist Jensen, et al.
Published: (2024)

Adaptations and Heterogeneity of Treatment Effects in Platform Trials—Protocol for Two Methodological Studies
by: Tine Sylvest Meyhoff, et al.
Published: (2025)

Low‐Molecular‐Weight Heparin for Adult ICU Patients Who Require Thromboprophylaxis: Protocol for the INCEPT ‐Thromboprophylaxis Platform Trial Domain
by: Ruben Eck, et al.
Published: (2026)

Associations between enteral nutrition and outcomes in the SUP‐ICU trial: Results of exploratory post hoc analyses
by: Mark Borthwick, et al.
Published: (2024)

Issuing of albumin solutions to Danish public hospitals—A nationwide, retrospective, observational study based on pharmacy data from 2022
by: Jeppe Aabye, et al.
Published: (2025)

GRADE pearls and pitfalls—Part 2: Clinical practice guidelines
by: Anders Granholm, et al.
Published: (2024)

Antibiotic Consumption in Danish Intensive Care Units, 2013–2023: A Nationwide Study of Temporal Trends
by: Nick Frørup Meier, et al.
Published: (2025)

Covariate adjustment for linear models in estimating treatment effects in randomised clinical trials. Some useful theory to guide simulation
by: Senn, Stephen, et al.
Published: (2025)

Demystifying estimands in cluster-randomised trials
by: Kahan, Brennan C, et al.
Published: (2023)

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

GRADE pearls and pitfalls—Part 1: Systematic reviews and meta‐analyses
by: Zainab Al Duhailib, 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)

Sample size calculations for multilevel factorial longitudinal cluster randomised trials
by: Bowden, Rhys, et al.
Published: (2025)

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

Modern approaches for evaluating treatment effect heterogeneity from clinical trials and observational data
by: Lipkovich, Ilya, et al.
Published: (2023)

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

Intraoperative Use of Vasoactive Agents in Non‐Cardiac Surgery: Protocol for a Post Hoc Cohort Study
by: Emilie Stokholm Bækgaard, et al.
Published: (2026)

Chauhan Weighted Trajectory Analysis reduces sample size requirements and expedites time-to-efficacy signals in advanced cancer clinical trials
by: Chauhan, Utkarsh, et al.
Published: (2024)

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

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

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

On the Estimation of bivariate Conditional Transition Rates
by: Bathke, Theis
Published: (2024)

The joint survival super learner: A super learner for right-censored data
by: Munch, Anders, et al.
Published: (2024)

Nonparametric inference for sublevel-set probabilities of conditional average treatment effect functions
by: Munch, Anders, et al.
Published: (2026)

Tools to help patients and other stakeholders' input into choice of estimand and intercurrent event strategy in randomised trials
by: Hindley, Joanna, et al.
Published: (2026)

Confidence intervals for adaptive trial designs II: Case study and practical guidance
by: Robertson, David S., et al.
Published: (2024)

Efficient nonparametric estimators of discrimination measures with censored survival data
by: Breum, Marie Skov, et al.
Published: (2024)

A Non-Gaussian Bayesian Filter Using Power and Generalized Logarithmic Moments
by: Wu, Guangyu, et al.
Published: (2022)

Truncated Multidimensional Trigonometric Moment Problem: A Choice of Bases and the Unique Solution
by: Wu, Guangyu, et al.
Published: (2026)

Transforming Sensitive Documents into Quantitative Data: An AI-Based Preprocessing Toolchain for Structured and Privacy-Conscious Analysis
by: Ledberg, Anders, et al.
Published: (2025)

Clinical transfusion-outcomes research: A practical guide
by: Valk, Sarah J, et al.
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)

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

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

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

Next generation clinical trials: Seamless designs and master protocols
by: Burdon, Abigail, et al.
Published: (2024)

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

Estimating Propensities of Selection for Big Datasets via Data Integration
by: Ang, Lyndon, et al.
Published: (2025)

An Empirical Comparison of Methods to Produce Business Statistics Using Non-Probability Data
by: Ang, Lyndon, et al.
Published: (2024)