Sample size re-estimation for superiority clinical trials with a dichotomous outcome using an unblinded estimate of the control group outcome rate
Adaptive sample size reestimation in east infosheet by James. cahill@Cytel.com - Issuu
Sample size re-estimation without un-blinding for time-to-event outcomes in oncology clinical trials
Group Sequential Design & Unblinded Sample Size Re estimation in nQuery - YouTube
Webinar Host HOSTED BY: Ronan Fitzpatrick Head of Statistics - ppt download
Adaptive design methods in clinical trials – a review | Orphanet Journal of Rare Diseases | Full Text
Sample size re-estimation for pivotal clinical trials - ScienceDirect
Blinded Sample Size Reestimation in Clinical Trials with Recurrent Event Data and Time-dependent Event Rates
Sample size re-estimation for pivotal clinical trials - ScienceDirect
Design for sample size re-estimation with interim data for double-blind clinical trials with binary outcomes. | Semantic Scholar
Sample size calculation and re-estimation based on the prevalence in a single-arm confirmatory diagnostic accuracy study - Maria Stark, Antonia Zapf, 2020
What is Sample Size Re-Estimation?
Conducting Sample Size Reassessment with Time-to-event Endpoints
Adaptive Features of a Trial That Uses Sample-Size Reestimation. The... | Download Scientific Diagram
Follow up after sample size re-estimation in a breast cancer randomized trial for disease-free survival | Trials | Full Text
What Are the Major/Common Types of Adaptive Designs Used in Clinical Trials Today?
Guide to Blinded Sample Size Re-Estimation in Clinical Trials - YouTube
Blinded Sample Size Re-estimation for Negative Binomial Counts using the R-package spass
Sample Size Re- estimation : “De-risking” a crucial stage of clinical development
Sample Size Re-estimation (SSR) Design
On Biostatistics and Clinical Trials: Sample size re-estimation or sample size increase?
PPT - Adaptive Designs Sample size re-estimation: A review and recommendations PowerPoint Presentation - ID:1270910
Sample size re-estimation without unblinding for normally distributed outcomes with unknown variance: Communications in Statistics - Theory and Methods: Vol 21, No 10
