Image de couverture de livre

Statistical modeling to adjust for time trends in adaptive platform trials utilizing non-concurrent controls

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Krotka, Pavla, Posch, Martin, Gewily, Mohamed, Höglinger, Günter, Roig, Marta Bofill
Format:	Preprint
Publié:	2024
Sujets:	Methodology
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

On the inclusion of non-concurrent controls in platform trials with an interim analysis
par: Krotka, Pavla, et autres
Publié: (2025)

NCC: An R-package for analysis and simulation of platform trials with non-concurrent controls
par: Krotka, Pavla, et autres
Publié: (2023)

Treatment-control comparisons in platform trials including non-concurrent controls
par: Roig, Marta Bofill, et autres
Publié: (2024)

Optimal allocation strategies in platform trials
par: Roig, Marta Bofill, et autres
Publié: (2023)

On the Inclusion of Non‐Concurrent Controls in Platform Trials With an Interim Analysis
par: Pavla Krotka, et autres
Publié: (2026)

ADDIS-Graphs for online error control with application to platform trials
par: Fischer, Lasse, et autres
Publié: (2023)

A Scale-Invariant Entropy Statistic for Distance Distributions
par: Gewily, Mohamed
Publié: (2026)

An exhaustive ADDIS principle for online FWER control
par: Fischer, Lasse, et autres
Publié: (2023)

An Adaptive Phase II Trial Design for Dose Selection and Addition in Microfilarial Infections
par: Zehetmayer, Sonja, et autres
Publié: (2026)

Identification and estimation of causal effects using non-concurrent controls in platform trials
par: Santacatterina, Michele, et autres
Publié: (2024)

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

The Online Closure Principle
par: Fischer, Lasse, et autres
Publié: (2022)

Slamming the sham: A Bayesian model for adaptive adjustment with noisy control data
par: Gelman, Andrew, et autres
Publié: (2019)

A two-step approach for analyzing time to event data under non-proportional hazards
par: Brugger, Jonas, et autres
Publié: (2024)

On the uncertainty from the first-stage estimation of prognostic covariate adjustment in randomized controlled trials
par: Seya, Nodoka, et autres
Publié: (2026)

Assessing covariate-adjusted risk differences in small-sample clinical trials
par: Schnuerch, Martin, et autres
Publié: (2026)

Selection Bias in Hybrid Randomized Controlled Trials using External Controls: A Simulation Study
par: Chiam, Han Chang, et autres
Publié: (2025)

Automated, efficient and model-free inference for randomized clinical trials via data-driven covariate adjustment
par: Van Lancker, Kelly, et autres
Publié: (2024)

"Within-trial" prognostic score adjustment is targeted maximum likelihood estimation
par: Højbjerre-Frandsen, Emilie, et autres
Publié: (2025)

Covariate-adjusted win statistics in randomized clinical trials with ordinal outcomes
par: Cao, Zhiqiang, et autres
Publié: (2025)

Improving randomized controlled trial analysis via data-adaptive borrowing
par: Gao, Chenyin, et autres
Publié: (2023)

Doubly protected estimation for survival outcomes utilizing external controls for randomized clinical trials
par: Gao, Chenyin, et autres
Publié: (2024)

Stratification in Randomised Clinical Trials for Rare Diseases and Analysis of Covariance: Some Simple Theory and Recommendations
par: Senn, Stephen, et autres
Publié: (2024)

A general Bayesian approach to design adaptive clinical trials with time-to-event outcomes
par: McGree, James M., et autres
Publié: (2023)

Bias reduction in g-computation for covariate adjustment in randomized clinical trials
par: Zhang, Xin, et autres
Publié: (2025)

On the achievability of efficiency bounds for covariate-adjusted response-adaptive randomization
par: Xin, Jiahui, et autres
Publié: (2024)

Regression adjustment in covariate-adaptive randomized experiments with missing covariates
par: Fu, Wanjia, et autres
Publié: (2025)

Tail-robust estimation of factor-adjusted vector autoregressive models for high-dimensional time series
par: Dijk, Dylan, et autres
Publié: (2025)

Exploring climate change effects on concurrent floods and concurrent droughts via statistical deep learning
par: Murphy-Barltrop, C. J. R., et autres
Publié: (2026)

Finite-sample adjustments for comparing clustered adaptive interventions using data from a clustered SMART
par: Pan, Wenchu, et autres
Publié: (2024)

Methods for non-proportional hazards in clinical trials: A systematic review
par: Bardo, Maximilian, et autres
Publié: (2023)

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

Publication bias adjustment in network meta-analysis: an inverse probability weighting approach using clinical trial registries
par: Huang, Ao, et autres
Publié: (2024)

An adaptive design for optimizing treatment assignment in randomized clinical trials
par: Zhang, Wei, et autres
Publié: (2025)

Communicating results in trials with multiple hypotheses or adaptive design features
par: Asikanius, Elina, et autres
Publié: (2026)

A stableness of resistance model for nonresponse adjustment with callback data
par: Miao, Wang, et autres
Publié: (2021)

Simultaneous confidence intervals for an extended Koch-Röhmel design in three-arm non-inferiority trials
par: Scharpenberg, Martin, et autres
Publié: (2022)

Robust outlier-adjusted mean-shift estimation of state-space models
par: Shankar, Rajan, et autres
Publié: (2025)

Propensity weighting plus adjustment in proportional hazards model is not doubly robust
par: Gabriel, Erin E, et autres
Publié: (2023)

Methods for adjusting for covariate measurement error in flexible modelling of functional form: designing a blinded, controlled neutral comparison simulation study
par: Thiébaut, Anne C M, et autres
Publié: (2026)