Clinical Statistics
By: Korosteleva, Olga
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Material type: 
BookSeries: Publisher: Canada : Jones & Bartlett Learning, 2008Edition: 1st ed.Description: 120 p.ISBN: 0763758507 (spiral-bound); 9780763758509 (spiral-bound).Subject(s): Clinical Statistics,Statistics analysis of clinical dataDDC classification: 610.727 korosteleva 24546 1/e 2009 Statistics Summary: Clinical Statistics: Introducing Clinical Trials, Survival Analysis, and Longitudinal Data Analysis provides the mathematic background necessary for students preparing for a career as a statistician in the biomedical field. The manual explains the steps a clinical statistician must take in clinical trials from protocol writing to subject randomization, to data monitoring, and on to writing a final report to the FDA. All of the necessary fundamentals of statistical analysis: survival and longitudinal data analysis are included. SAS procedures are explained with simple examples and the mathematics behind these SAS procedures are covered in detail with the statistical software program SAS which is implemented throughout the text. Complete codes are given for every example found in the text. The exercises featured throughout the guide are both theoretical and applied making it appropriate for those moving on to different clinical settings. Students will find Clinical Statistics to be a handy lab reference for coursework and in their future careers.
| Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
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Books
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UVAS Library Statistics | MED | 610.727 korosteleva 24546 1/e 2009 Statistics (Browse shelf) | Available | 24546 |
Clinical Statistics: Introducing Clinical Trials, Survival Analysis, and Longitudinal Data Analysis provides the mathematic background necessary for students preparing for a career as a statistician in the biomedical field. The manual explains the steps a clinical statistician must take in clinical trials from protocol writing to subject randomization, to data monitoring, and on to writing a final report to the FDA. All of the necessary fundamentals of statistical analysis: survival and longitudinal data analysis are included. SAS procedures are explained with simple examples and the mathematics behind these SAS procedures are covered in detail with the statistical software program SAS which is implemented throughout the text. Complete codes are given for every example found in the text. The exercises featured throughout the guide are both theoretical and applied making it appropriate for those moving on to different clinical settings. Students will find Clinical Statistics to be a handy lab reference for coursework and in their future careers.
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