Longitudinal analyses for magnetic resonance imaging outcomes in multiple sclerosis clinical trials
| Autor: | R White, J Petkau, Y D'yachkova |
|---|---|
| Rok vydání: | 1997 |
| Předmět: |
Pharmacology
Statistics and Probability Clinical Trials as Topic medicine.medical_specialty Multiple Sclerosis medicine.diagnostic_test Longitudinal data business.industry Multiple sclerosis Magnetic resonance imaging medicine.disease Magnetic Resonance Imaging Gee Clinical trial Physical medicine and rehabilitation Feature (computer vision) medicine Physical therapy Humans Pharmacology (medical) Longitudinal Studies business Mathematical Computing Generalized estimating equation |
| Zdroj: | Journal of Biopharmaceutical Statistics. 7:501-531 |
| ISSN: | 1520-5711 1054-3406 |
| DOI: | 10.1080/10543409708835204 |
| Popis: | A basic feature of many clinical trials is the collection of longitudinal data on individual patients. Analysis of such data is often based on summaries over time. This allows use of standards methods to assess treatment effects but sacrifices information on patterns over time as well as potential greater efficiency of analysis. The purpose of this paper is to illustrate the utility of the generalized estimating equations (GEE) approach to the analysis of longitudinal binary, count, and continuous responses for the frequent magnetic resonance imaging (MRI) substudy of the 3-year pivotal trial of interferon beta-1 b in relapsing-remitting multiple sclerosis. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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