Statistical Methodology In The Pharmaceutical Sciences
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Statistical Methodology in the Pharmaceutical Sciences
Author | : D. A. Berry |
Publsiher | : CRC Press |
Total Pages | : 592 |
Release | : 2016-04-19 |
Genre | : Mathematics |
ISBN | : 9781482276862 |
Download Statistical Methodology in the Pharmaceutical Sciences Book in PDF, Epub and Kindle
A state-of-the-art handbook of statistical analysis for use in the pharmaceutical industry. Areas covered in this reference/text include: bioavailability, repeated-measures designs, dose-response, population models, multicenter trials, handling dropouts, survival analysis, robust data analysis, cate
Statistical Methodology in the Pharmaceutical Sciences
Author | : D. A. Berry |
Publsiher | : CRC Press |
Total Pages | : 592 |
Release | : 2019-10-07 |
Genre | : Clinical trials |
ISBN | : 0367403307 |
Download Statistical Methodology in the Pharmaceutical Sciences Book in PDF, Epub and Kindle
A state-of-the-art handbook of statistical analysis for use in the pharmaceutical industry. Areas covered in this reference/text include: bioavailability, repeated-measures designs, dose-response, population models, multicenter trials, handling dropouts, survival analysis, robust data analysis, cate
Statistical Methodology in the Pharmaceutical Sciences
Author | : D. A. Berry |
Publsiher | : CRC Press |
Total Pages | : 597 |
Release | : 1989-09-28 |
Genre | : Mathematics |
ISBN | : 9780824781170 |
Download Statistical Methodology in the Pharmaceutical Sciences Book in PDF, Epub and Kindle
A state-of-the-art handbook of statistical analysis for use in the pharmaceutical industry. Areas covered in this reference/text include: bioavailability, repeated-measures designs, dose-response, population models, multicenter trials, handling dropouts, survival analysis, robust data analysis, cate
Essential Statistics for the Pharmaceutical Sciences
Author | : Philip Rowe |
Publsiher | : John Wiley & Sons |
Total Pages | : 434 |
Release | : 2015-09-28 |
Genre | : Medical |
ISBN | : 9781118913390 |
Download Essential Statistics for the Pharmaceutical Sciences Book in PDF, Epub and Kindle
Essential Statistics for the Pharmaceutical Sciences is targeted at all those involved in research in pharmacology, pharmacy or other areas of pharmaceutical science; everybody from undergraduate project students to experienced researchers should find the material they need. This book will guide all those who are not specialist statisticians in using sound statistical principles throughout the whole journey of a research project - designing the work, selecting appropriate statistical methodology and correctly interpreting the results. It deliberately avoids detailed calculation methodology. Its key features are friendliness and clarity. All methods are illustrated with realistic examples from within pharmaceutical science. This edition now includes expanded coverage of some of the topics included in the first edition and adds some new topics relevant to pharmaceutical research. a clear, accessible introduction to the key statistical techniques used within the pharmaceutical sciences all examples set in relevant pharmaceutical contexts. key points emphasised in summary boxes and warnings of potential abuses in ‘pirate boxes’. supplementary material - full data sets and detailed instructions for carrying out analyses using packages such as SPSS or Minitab – provided at: https://www.wiley.com/go/rowe/statspharmascience2e An invaluable introduction to statistics for any science student and an essential text for all those involved in pharmaceutical research at whatever level.
Statistical Design and Analysis in Pharmaceutical Science
Author | : Shein-Chung Chow,Jen-pei Liu |
Publsiher | : CRC Press |
Total Pages | : 581 |
Release | : 2018-10-03 |
Genre | : Mathematics |
ISBN | : 9781482273137 |
Download Statistical Design and Analysis in Pharmaceutical Science Book in PDF, Epub and Kindle
"Offers a comprehensive, unified presentation of statistical designs and methods of analysis for all stages of pharmaceutical development--emphasizing biopharmaceutical applications and demonstrating statistical techniques with real-world examples."
Statistical Methods for Pharmaceutical Research Planning
Author | : S. W. Bergman |
Publsiher | : CRC Press |
Total Pages | : 270 |
Release | : 2020-10-28 |
Genre | : Mathematics |
ISBN | : 9781000105520 |
Download Statistical Methods for Pharmaceutical Research Planning Book in PDF, Epub and Kindle
This book focuses on statistical methods which impinge more or less directly on the decisions that are made during the course of pharmaceutical and agro-chemical research, considering the four decision-making areas.
Statistical Methods for Pharmaceutical Research Planning
Author | : S. W. Bergman |
Publsiher | : CRC Press |
Total Pages | : 273 |
Release | : 2020-10-29 |
Genre | : Mathematics |
ISBN | : 9781000148732 |
Download Statistical Methods for Pharmaceutical Research Planning Book in PDF, Epub and Kindle
This book focuses on statistical methods which impinge more or less directly on the decisions that are made during the course of pharmaceutical and agro-chemical research, considering the four decision-making areas.
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 |
Download Applied Statistics in the Pharmaceutical Industry Book in PDF, Epub and Kindle
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.