Copertina

Learn-As-you-GO (LAGO) Trials: Optimizing Trials for Effectiveness and Power to Prevent Failed Trials

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Bing, Ante, Spiegelman, Donna, Lok, Judith J.
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Methodology
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Addressing Confounding by Indication Through (Un)Measured Centre Characteristics in Learn-As-you-GO(LAGO) Trials
di: Bui, Minh Thu, et al.
Pubblicazione: (2026)

Optimizing Complex Health Intervention Packages through the Learn-As-you-GO (LAGO) Design
di: Spiegelman, Donna, et al.
Pubblicazione: (2026)

Optimal Sample Size Calculation in Cost-Effectiveness Longitudinal Cluster Randomized Trials
di: Wang, Hao, et al.
Pubblicazione: (2026)

Active-Controlled Trial Design for HIV Prevention Trials with a Counterfactual Placebo
di: Gao, Fei, et al.
Pubblicazione: (2024)

Proximal Learning for Trials With External Controls: A Case Study in HIV Prevention
di: Song, Yilin, et al.
Pubblicazione: (2026)

Power and Sample Size Calculations for Cluster Randomized Hybrid Type 2 Effectiveness-Implementation Studies
di: Owen, Melody A., et al.
Pubblicazione: (2024)

Correcting for bias due to mismeasured exposure in mediation analysis with a survival outcome
di: Cheng, Chao, et al.
Pubblicazione: (2023)

Cost Effectiveness Analyses for Sequential Multiple Assignment Randomized Trials
di: Montoya, Lina M., et al.
Pubblicazione: (2025)

Behavioral Carry-Over Effect and Power Consideration in Crossover Trials
di: Shi, Danni, et al.
Pubblicazione: (2023)

Bayesian Optimization for Personalized Dose-Finding Trials with Combination Therapies
di: Willard, James, et al.
Pubblicazione: (2023)

Assessing Vaccine Effectiveness in Observational Studies via Nested Trial Emulation
di: DeMonte, Justin B., et al.
Pubblicazione: (2024)

Design of egocentric network-based studies to estimate causal effects under interference
di: Fang, Junhan, et al.
Pubblicazione: (2023)

Causal Selection of Covariates in Regression Calibration for Mismeasured Continuous Exposure
di: Tang, Wenze, et al.
Pubblicazione: (2022)

Causal Covariate Selection for the Imputation-based Regression Calibration Method for Exposure Measurement Error Bias Correction
di: Tang, Wenze, et al.
Pubblicazione: (2023)

Time Partitioning in Target Trial Emulation
di: Zoumenou, Harold Tankpinou, et al.
Pubblicazione: (2026)

Optimal Correlation for Bernoulli Trials with Covariates
di: Morrison, Tim, et al.
Pubblicazione: (2024)

Some Bayesian Perspectives on Clinical Trials
di: Sokolova, Alexandra, et al.
Pubblicazione: (2026)

TrialEmulation: An R Package to Emulate Target Trials for Causal Analysis of Observational Time-to-event Data
di: Su, Li, et al.
Pubblicazione: (2024)

A comparison of methods for designing hybrid type 2 cluster-randomized trials with continuous effectiveness and implementation endpoints
di: Owen, Melody, et al.
Pubblicazione: (2025)

Studying Optimal Designs for Multivariate Crossover Trials
di: Niphadkar, Shubham, et al.
Pubblicazione: (2025)

Design of Bayesian Clinical Trials with Clustered Data
di: Hagar, Luke, et al.
Pubblicazione: (2025)

The Win Ratio at the Design Stage of Clinical Trials
di: Kronthaler, David, et al.
Pubblicazione: (2025)

Causal Inference in Randomized Trials with Partial Clustering
di: Nugent, Joshua, et al.
Pubblicazione: (2024)

Augmented Binary Method for Basket Trials (ABBA)
di: Cherlin, Svetlana, et al.
Pubblicazione: (2024)

Just Trial Once: Ongoing Causal Validation of Machine Learning Models
di: Chen, Jacob M., et al.
Pubblicazione: (2025)

Improving Power in Randomized Controlled Trials with Time-to-Event Endpoints: A Risk-Free Approach
di: Zhou, Junyi, et al.
Pubblicazione: (2026)

TITE-Safety: Time-to-event Safety Monitoring for Clinical Trials
di: Martens, Michael J., et al.
Pubblicazione: (2025)

Estimands for Early Phase Dose Optimization Trials in Oncology
di: Mukherjee, Ayon, et al.
Pubblicazione: (2025)

Adaptive Selection of the Optimal Strategy to Improve Precision and Power in Randomized Trials
di: Balzer, Laura B., et al.
Pubblicazione: (2022)

Bayesian Optimization for Identification of Optimal Biological Dose Combinations in Personalized Dose-Finding Trials
di: Willard, James, et al.
Pubblicazione: (2024)

Targeted Data Fusion for Region-Specific Survival Effects in the AMP HIV Prevention Trials
di: Liu, Yi, et al.
Pubblicazione: (2025)

From Estimands to Robust Inference of Treatment Effects in Platform Trials
di: Qian, Yuhan, et al.
Pubblicazione: (2024)

Robust Covariate Adjustment in Multi-Center Randomized Trials
di: Alene, Muluneh, et al.
Pubblicazione: (2025)

Synergy-Informed Design of Platform Trials for Combination Therapies
di: Xi, Nan Miles, et al.
Pubblicazione: (2025)

On Anticipation Effect in Stepped Wedge Cluster Randomized Trials
di: Wang, Hao, et al.
Pubblicazione: (2025)

Evaluating Informative Cluster Size in Cluster Randomized Trials
di: Blette, Bryan S., et al.
Pubblicazione: (2025)

Omitted-Variable Sensitivity Analysis for Generalizing Randomized Trials
di: Asiaee, Amir, et al.
Pubblicazione: (2026)

Is 1:1 Always Most Powerful? Why Careful Determination of Allocation Ratios Matters in Trial Design
di: Pin, Lukas, et al.
Pubblicazione: (2025)

Inference in Cluster Randomized Trials with Matched Pairs
di: Bai, Yuehao, et al.
Pubblicazione: (2022)

Mixture of Finite Mixtures Model for Basket Trial
di: Geng, Junxian, et al.
Pubblicazione: (2020)