Blinded Sample Size Adjustment-Reference-Cited by-同舟云学术

Blinded Sample Size Adjustment

Published:2001-10 Issue:4 Volume:35 Page:1123-1130
ISSN:0092-8615
Container-title:Drug Information Journal
language:en
Short-container-title:Drug Information J

Author:

Bristol David R.,Shurzinske Linda

Publisher

Springer Science and Business Media LLC

Subject

Pharmacology (medical),Public Health, Environmental and Occupational Health,Drug Guides,Pharmacology (nursing)

Link

http://link.springer.com/content/pdf/10.1177/009286150103500409.pdf

Reference15 articles.

1. Stein C. A two-sample test for a linear hypothesis whose power is independent of the variance. Ann Math Stat., 1945;8:51–58.

2. Wittes J, Brittain E. The role of internal pilot studies in increasing the efficiency of clinical trials. (with discussion) Stat Med., 1990;9:65–72.

3. Shih WJ. Sample Size Reestimation in Clinical Trials. In Biopharmaceutical Sequential Statistical Applications. K. Peace, ed. New York, NY: Marcel Dekker. 1992;285–301.

4. Bristol DR. Sample size determination using an interim analysis. J Biopharm Stat., 1993;3(2):159–166.

5. Herson J, Wittes J. The use of interim analysis for sample size adjustment Drug Inf J. 1993;27:753–760.

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Opportunity for efficiency in clinical development: An overview of adaptive clinical trial designs and innovative machine learning tools, with examples from the cardiovascular field;Contemporary Clinical Trials;2021-06

2. Type I Error Inflation of Blinded Sample Size Re-Estimation in Equivalence Testing;Statistics in Biopharmaceutical Research;2020-12-23

3. Distribution theory following blinded and unblinded sample size re-estimation under parametric models;Communications in Statistics - Simulation and Computation;2019-11-22

4. Blinded versus unblinded estimation of a correlation coefficient to inform interim design adaptations;Biometrical Journal;2016-11-25

5. Blinded sample size re-estimation in superiority and noninferiority trials: bias versus variance in variance estimation;Pharmaceutical Statistics;2013-03-19