Missing Data in Clinical Studies
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Beschreibung
Missing Data in Clinical Studies provides a comprehensiveaccount of the problems arising when data from clinical and relatedstudies are incomplete, and presents the reader with approaches toeffectively address them. The text provides a critique ofconventional and simple methods before moving on to discuss moreadvanced approaches. The authors focus on practical and modelingconcepts, providing an extensive set of case studies to illustratethe problems described.
* Provides a practical guide to the analysis of clinical trialsand related studies with missing data.
* Examines the problems caused by missing data, enabling acomplete understanding of how to overcome them.
* Presents conventional, simple methods to tackle these problems,before addressing more advanced approaches, including sensitivityanalysis, and the MAR missingness mechanism.
* Illustrated throughout with real-life case studies and workedexamples from clinical trials.
* Details the use and implementation of the necessary statisticalsoftware, primarily SAS.
Missing Data in Clinical Studies has been developedthrough a series of courses and lectures. Its practical approachwill appeal to applied statisticians and biomedical researchers, inparticular those in the biopharmaceutical industry, medical andpublic health organisations. Graduate students of biostatisticswill also find much of benefit.
Autor*in
Geerts Molenberghs
Themen in »Missing Data in Clinical Studies«
Biostatistics Biostatistik Clinical Trials Klinische Studien Statistics Statistik
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?Overall, this is an excellent text on missing data that isengaging for practitioners while being rigorous enoughfor use inthe graduate biostatistics courses.?(Biometrics , September2009)" "Missing Data in Clinical Studies does an excellentjob of presenting essential ideas on modern concepts and techniquesrelevant to missing data in clinical studies." (Journal of theAmerican Statistician, December 2008)
"?this book is reasonably well organized and covers all therelevant theory and much of the practical applications of thefield." (Journal of the American Chemical Association,August 6, 2008)
"Missing Data in Clinical Studies does an excellent job ofpresenting essential ideas on modern concepts and techniquesrelevant to missing data in clinical studies." (Journal ofthe American Statistician, December 2008)
"Clear, generally accessible and well written, and the contentis rich. This text is a highly recommendable addition to theshelves of practicing statisticians." (Journal of AppliedStatistics, August 2008)
"The authors give key examples in the form of several clinicaltrials and their analyses using the appropriate remedialtechniques." (Journal of Tropical Pediatrics, August2007)
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