| Power analyses for negative binomial models with application to multiple sclerosis clinical trials. | |
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MedLine Citation:
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PMID: 22251172 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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We use negative binomial (NB) models for the magnetic resonance imaging (MRI)-based brain lesion count data from parallel group (PG) and baseline versus treatment (BVT) trials for relapsing remitting multiple sclerosis (RRMS) patients, and describe the associated likelihood ratio (LR), score, and Wald tests. We perform power analyses and sample size estimation using the simulated percentiles of the exact distribution of the test statistics for the PG and BVT trials. When compared to the corresponding nonparametric test, the LR test results in 30-45% reduction in sample sizes for the PG trials and 25-60% reduction for the BVT trials. |
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Authors:
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Mallik Rettiganti; H N Nagaraja |
Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Journal of biopharmaceutical statistics Volume: 22 ISSN: 1520-5711 ISO Abbreviation: J Biopharm Stat Publication Date: 2012 Mar |
Date Detail:
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Created Date: 2012-01-18 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9200436 Medline TA: J Biopharm Stat Country: England |
Other Details:
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Languages: eng Pagination: 237-59 Citation Subset: IM |
Affiliation:
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a Department of Statistics , The Ohio State University , Columbus , Ohio , USA. |
Export Citation:
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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