Conditional power and friends: The why and how of (un)planned, unblinded sample size recalculations in confirmatory trials-Reference-Cited by-同舟云学术

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Conditional power and friends: The why and how of (un)planned, unblinded sample size recalculations in confirmatory trials

Published:2022-01-13 Issue:5 Volume:41 Page:877-890
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Kunzmann Kevin¹^ORCID,Grayling Michael J.²^ORCID,Lee Kim May³^ORCID,Robertson David S.¹^ORCID,Rufibach Kaspar⁴,Wason James M. S.¹²^ORCID

Affiliation:

1. MRC Biostatistics Unit University of Cambridge Cambridge UK

2. Population Health Sciences Institute Newcastle University Newcastle upon Tyne UK

3. Institute of Psychiatry Psychology and Neuroscience, King's College London UK

4. Methods, Collaboration, and Outreach Group (MCO), Product Development Data Sciences F. Hoffmann‐La Roche Basel Switzerland

Funder

NIHR Cambridge Biomedical Research Centre

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.9288

Reference23 articles.

1. Bayesian Approaches to Randomized Trials

2. Twenty‐five years of confirmatory adaptive designs: opportunities and pitfalls

3. Internal pilot studies for estimating sample size

4. A general statistical principle for changing a design any time during the course of a trial

5. Probabilistic Foundation of Confirmatory Adaptive Designs

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3. Stochastic curtailment tests for phase II trial with time-to-event outcome using the concept of relative time in the case of non-proportional hazards;Journal of Biopharmaceutical Statistics;2023-08-14

4. Adaptive designs for IVPT data with mixed scaled average bioequivalence;Pharmaceutical Statistics;2023-08-09

5. A retrospective analysis of conditional power assumptions in clinical trials with continuous or binary endpoints;Trials;2023-03-22

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