Completeness and unbiased estimation of mean vector in the multivariate group sequential case
DOI10.1016/j.jmva.2006.01.001zbMath1107.62073OpenAlexW1973619276MaRDI QIDQ873618
Chengqing Wu, Aiyi Liu, Weishi Yuan, Yu, Kai Fun
Publication date: 29 March 2007
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmva.2006.01.001
mean squared errorminimum variancebiasinterim analysismultiple endpointsmedical trialsrestricted completenesstruncation-adaptation
Estimation in multivariate analysis (62H12) Sequential statistical design (62L05) Sequential statistical analysis (62L10) Sufficient statistics and fields (62B05)
Cites Work
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- Sequential analysis. Tests and confidence intervals
- Discrete Sequential Boundaries for Clinical Trials
- An approximate likelihood ratio test for a normal mean vector with nonnegative components with application to clinical trials
- Unbiased estimation following a group sequential test
- Group Sequential Tests for Bivariate Response: Interim Analyses of Clinical Trials with Both Efficacy and Safety Endpoints
- A Computationally Simpler Algorithm for the UMVUE of a Normal Mean Following a Group Sequential Trial
- The distribution of brownian motion on linear stopping boundaries
- Closed Testing Procedures for Group Sequential Clinical Trials with Multiple Endpoints
- Group Sequential Distribution-Free Methods for the Analysis of Multivariate Observations
- On The Design and Analysis of Randomized Clinical Trials with Multiple Endpoints
- Nonparametric sequential testing in clinical trials with incomplete multivariate observations
- Conditional Expectation and Unbiased Sequential Estimation
- Completeness in the Sequential Case
- What is the Laplace Transform?
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