Applied Statistics In The Pharmaceutical Industry With Case Studies Using S Plus
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Applied Statistics in the Pharmaceutical Industry
Author | : Steven P. Millard,Andreas Krause |
Publsiher | : Springer Science & Business Media |
Total Pages | : 518 |
Release | : 2013-11-09 |
Genre | : Medical |
ISBN | : 9781475734669 |
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Providing a general guide to statistical methods used in the pharmaceutical industry, and illustrating how to use S-PLUS to implement these methods, the book explains why S-PLUS is a useful software package and discusses the results and implications of each particular application. It is targeted at graduates in biostatistics, statisticians involved in the industry as research scientists, regulators, academics, and/or consultants who want to know more about how to use S-PLUS and learn about other sub-fields within the industry, as well as statisticians in other fields who want to know more about statistical applications in the pharmaceutical industry.
Applied Statistics In The Pharmaceutical Industry With Case Studies Using S Plus
Author | : Steven P. Millard |
Publsiher | : Unknown |
Total Pages | : 135 |
Release | : 2010 |
Genre | : Electronic Book |
ISBN | : 8184895054 |
Download Applied Statistics In The Pharmaceutical Industry With Case Studies Using S Plus Book in PDF, Epub and Kindle
Applied Statistics in the Pharmaceutical Industry
Author | : Steven P. Millard,Andreas Krause |
Publsiher | : Unknown |
Total Pages | : 536 |
Release | : 2014-09-01 |
Genre | : Electronic Book |
ISBN | : 1475734670 |
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Analyzing Medical Data Using S PLUS
Author | : Brian Everitt,Sophia Rabe-Hesketh |
Publsiher | : Springer Science & Business Media |
Total Pages | : 488 |
Release | : 2013-03-09 |
Genre | : Computers |
ISBN | : 9781475732856 |
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Each chapter consists of basic statistical theory, simple examples of S-PLUS code, plus more complex examples of S-PLUS code, and exercises. All data sets are taken from genuine medical investigations and will be available on a web site. The examples in the book contain extensive graphical analysis to highlight one of the prime features of S-PLUS. Written with few details of S-PLUS and less technical descriptions, the book concentrates solely on medical data sets, demonstrating the flexibility of S-PLUS and its huge advantages, particularly for applied medical statisticians.
Regression Modeling Strategies
Author | : Frank E. Harrell |
Publsiher | : Springer Science & Business Media |
Total Pages | : 583 |
Release | : 2013-03-09 |
Genre | : Mathematics |
ISBN | : 9781475734621 |
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Many texts are excellent sources of knowledge about individual statistical tools, but the art of data analysis is about choosing and using multiple tools. Instead of presenting isolated techniques, this text emphasizes problem solving strategies that address the many issues arising when developing multivariable models using real data and not standard textbook examples. It includes imputation methods for dealing with missing data effectively, methods for dealing with nonlinear relationships and for making the estimation of transformations a formal part of the modeling process, methods for dealing with "too many variables to analyze and not enough observations," and powerful model validation techniques based on the bootstrap. This text realistically deals with model uncertainty and its effects on inference to achieve "safe data mining".
The Basics of S PLUS
Author | : Andreas Krause,Melvin Olson |
Publsiher | : Springer Science & Business Media |
Total Pages | : 432 |
Release | : 2007-11-24 |
Genre | : Computers |
ISBN | : 9780387227085 |
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In a clear style the most important ideas of S-PLUS are introduced through the use of many examples. Each chapter includes a collection of exercises, fully worked-out solutions and detailed comments.
Statistical Methods in Drug Combination Studies
Author | : Wei Zhao,Harry Yang |
Publsiher | : CRC Press |
Total Pages | : 236 |
Release | : 2014-12-19 |
Genre | : Mathematics |
ISBN | : 9781482216752 |
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The growing interest in using combination drugs to treat various complex diseases has spawned the development of many novel statistical methodologies. The theoretical development, coupled with advances in statistical computing, makes it possible to apply these emerging statistical methods in in vitro and in vivo drug combination assessments. Howeve
Pharmacometrics
Author | : Ene I. Ette,Paul J. Williams |
Publsiher | : John Wiley & Sons |
Total Pages | : 1236 |
Release | : 2013-03-14 |
Genre | : Medical |
ISBN | : 9781118679517 |
Download Pharmacometrics Book in PDF, Epub and Kindle
Pharmacometrics is the science of interpreting and describing pharmacology in a quantitative fashion. The pharmaceutical industry is integrating pharmacometrics into its drug development program, but there is a lack of and need for experienced pharmacometricians since fewer and fewer academic programs exist to train them. Pharmacometrics: The Science of Quantitative Pharmacology lays out the science of pharmacometrics and its application to drug development, evaluation, and patient pharmacotherapy, providing a comprehensive set of tools for the training and development of pharmacometricians. Edited and written by key leaders in the field, this flagship text on pharmacometrics: Integrates theory and practice to let the reader apply principles and concepts. Provides a comprehensive set of tools for training and developing expertise in the pharmacometric field. Is unique in including computer code information with the examples. This volume is an invaluable resource for all pharmacometricians, statisticians, teachers, graduate and undergraduate students in academia, industry, and regulatory agencies.