Author: Olga Korosteleva
Edition: 1
Publisher: Jones & Bartlett Publishers
Binding: Spiral-bound
ISBN: 0763758507
Clinical Statistics: Introducing Clinical Trials, Survival Analysis, and Longitudinal Data Analysis (Jones and Bartlett Series in Mathematics)
Clinical Statistics: Introducing Clinical Trials, Survival Analysis, and Longitudinal Data Analysis provides the mathematical background necessary for students preparing for a career as a statistician in the biomedical field. Medical books Clinical Statistics. 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 procedures are covered in detail. Complete codes are given for every example found in the text Medical books Clinical Statistics: Introducing Clinical Trials, Survival Analysis, And Longitudinal Data Analysis. Categories: Survival analysis (Biometry), Medicine->Research->Statistical methods. Contributors: Olga Korosteleva - Author. Format: Other Format
Download link for Clinical Statistics: Introducing Clinical Trials, Survival Analysis, and Longitudinal Data Analysis (Jones and Bartlett Series in Mathematics)
Categories: Survival analysis (Biometry), Medicine->Research->Statistical methods. Contributors: Olga Korosteleva - Author. Format: Other Format
Categories: Survival analysis (Biometry), Medicine->Research->Statistical methods. Contributors: Olga Korosteleva - Author. Format: Other Format
Categories: Survival analysis (Biometry), Medicine->Research->Statistical methods. Contributors: Olga Korosteleva - Author. Format: Other Format
Jones And Bartlett Publishers, Inc | 2009 | 120 pages | ISBN-13: 9780763758509 | ISBN-10: 0763758507 | You save 10%
Medical Book Clinical Statistics
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 procedures are covered in detail. 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.
