EMPIRICAL POWER FOR DISTRIBUTION-FREE TESTS OF INCOMPLETE LONGITUDINAL DATA WITH APPLICATIONS TO AIDS CLINICAL TRIALS
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Publication:4512628
DOI10.1081/BIP-100101184zbMath0961.62038WikidataQ30581162 ScholiaQ30581162MaRDI QIDQ4512628
Ralph A. Demasi, Andrew M. Kuhn
Publication date: 5 June 2001
Published in: Journal of Biopharmaceutical Statistics (Search for Journal in Brave)
Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10)
Cites Work
- Longitudinal data analysis using generalized linear models
- Nonparametric inference for a family of counting processes
- Two-Sample Asymptotically Distribution-Free Tests for Incomplete Multivariate Observations
- Combining dependent tests with incomplete repeated measurements
- A note on the use of Laplace's approximation for nonlinear mixed-effects models
- Rank Estimation of Treatment Differences Based on Repeated Measurements Subject to Dependent Censoring
- Size and Power of Two-Sample Tests of Repeated Measures Data
- Modeling the Drop-Out Mechanism in Repeated-Measures Studies
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