Lu Cui
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Lu Cui has a total of 2 co-authors. Here are the top co-authors by number of shared publications:
H. M. James Hung
Division of Biometrics I, OB/CDER, Food and Drug Administration, 1451 Rockville Pike, Rockville, Maryland 20852, U.S.A.
1 shared publicationSue‐Jane Wang
Division of Biometrics II, OB/CDER, Food and Drug Administration, 5600 Fishers Lane, Rockville, Maryland 20857, U.S.A.
1 shared publication
Latest Publications
- 1 September 1999
- Published by Oxford University Press (OUP) in Biometrics
- Vol. 55 (3) , 853-857
Modification of Sample Size in Group Sequential Clinical Trials
Summary. In group sequential clinical trials, sample size reestimation can be a complicated issue when it allows for change of sample size to be influenced by an observed sample path. Our simulation studies show that increasing sample size based on an interim estimate of the treatment difference can substantially inflate the probability of type I error in most practical situations. A new group sequential test procedure is developed by modifying the weights used in the traditional repeated significance two‐sample mean test. The new test has the type I error probability preserved at the target level and can provide a substantial gain in power with the increase of sample size. Generalization of the new procedure is discussed.
- 1 September 1999
- Published by Oxford University Press (OUP) in Biometrics
- Vol. 55 (3) , 853-857
Modification of Sample Size in Group Sequential Clinical Trials
Summary. In group sequential clinical trials, sample size reestimation can be a complicated issue when it allows for change of sample size to be influenced by an observed sample path. Our simulation studies show that increasing sample size based on an interim estimate of the treatment difference can substantially inflate the probability of type I error in most practical situations. A new group sequential test procedure is developed by modifying the weights used in the traditional repeated significance two‐sample mean test. The new test has the type I error probability preserved at the target level and can provide a substantial gain in power with the increase of sample size. Generalization of the new procedure is discussed.