Statistical Methodology In The Pharmaceutical Sciences

Author : D. A. Berry
Publisher : CRC Press
ISBN 13 : 1482276860
Total Pages : 592 pages
Book Rating : 4.62/5 ( download)

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Download or read book Statistical Methodology in the Pharmaceutical Sciences written by D. A. Berry and published by CRC Press. This book was released on 2016-04-19 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Donald A. Berry
Publisher : CRC Press
ISBN 13 : 9781306866170
Total Pages : 578 pages
Book Rating : 4.70/5 ( download)

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Download or read book Statistical Methodology in the Pharmaceutical Sciences written by Donald A. Berry and published by CRC Press. This book was released on 1989 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Philip Rowe
Publisher : John Wiley & Sons
ISBN 13 : 1118913418
Total Pages : 431 pages
Book Rating : 4.13/5 ( download)

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Download or read book Essential Statistics for the Pharmaceutical Sciences written by Philip Rowe and published by John Wiley & Sons. This book was released on 2015-07-20 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Shein-Chung Chow
Publisher : CRC Press
ISBN 13 : 1482273136
Total Pages : 581 pages
Book Rating : 4.37/5 ( download)

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Download or read book Statistical Design and Analysis in Pharmaceutical Science written by Shein-Chung Chow and published by CRC Press. This book was released on 2018-10-03 with total page 581 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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."

Author : S. W. Bergman
Publisher : CRC Press
ISBN 13 : 1000148734
Total Pages : 273 pages
Book Rating : 4.32/5 ( download)

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Download or read book Statistical Methods for Pharmaceutical Research Planning written by S. W. Bergman and published by CRC Press. This book was released on 2020-10-29 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Philip Rowe
Publisher : John Wiley & Sons
ISBN 13 : 111891340X
Total Pages : 432 pages
Book Rating : 4.06/5 ( download)

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Download or read book Essential Statistics for the Pharmaceutical Sciences written by Philip Rowe and published by John Wiley & Sons. This book was released on 2015-07-20 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 www.ljmu.ac.uk/pbs/rowestats/ An invaluable introduction to statistics for any science student and an essential text for all those involved in pharmaceutical research at whatever level.

Author : Todd A. Durham
Publisher :
ISBN 13 : 9780853697145
Total Pages : 226 pages
Book Rating : 4.40/5 ( download)

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Download or read book Introduction to Statistics in Pharmaceutical Clinical Trials written by Todd A. Durham and published by . This book was released on 2008-01-01 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: All students of pharmaceutical sciences and clinical research need a solid knowledge and understanding of the nature, methods, application, and importance of statistics. Introduction to Statistics in Pharmaceutical Clinical Trials is an ideal introduction to statistics presented in the context of clinical trials conducted during pharmaceutical drug development. This novel approach both teaches the computational steps needed to conduct analyses and provides a conceptual understanding of how these analyses provide information that forms the rational basis for decision making throughout the drug development process.

Author : James E. De Muth
Publisher : Springer Nature
ISBN 13 : 3030339890
Total Pages : 257 pages
Book Rating : 4.90/5 ( download)

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Download or read book Practical Statistics for Pharmaceutical Analysis written by James E. De Muth and published by Springer Nature. This book was released on 2019-12-10 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an introductory statistics book designed to provide scientists with practical information needed to apply the most common statistical tests to laboratory research data. The book is designed to be practical and applicable, so only minimal information is devoted to theory or equations. Emphasis is placed on the underlying principles for effective data analysis and survey the statistical tests. It is of special value for scientists who have access to Minitab software. Examples are provides for all the statistical tests and explanation of the interpretation of these results presented with Minitab (similar to results for any common software package). The book is specifically designed to contribute to the AAPS series on advances in the pharmaceutical sciences. It benefits professional scientists or graduate students who have not had a formal statistics class, who had bad experiences in such classes, or who just fear/don’t understand statistics. Chapter 1 focuses on terminology and essential elements of statistical testing. Statistics is often complicated by synonyms and this chapter established the terms used in the book and how rudiments interact to create statistical tests. Chapter 2 discussed descriptive statistics that are used to organize and summarize sample results. Chapter 3 discussed basic assumptions of probability, characteristics of a normal distribution, alternative approaches for non-normal distributions and introduces the topic of making inferences about a larger population based on a small sample from that population. Chapter 4 discussed hypothesis testing where computer output is interpreted and decisions are made regarding statistical significance. This chapter also deasl with the determination of appropriate sample sizes. The next three chapters focus on tests that make decisions about a population base on a small subset of information. Chapter 5 looks at statistical tests that evaluate where a significant difference exists. In Chapter 6 the tests try to determine the extent and importance of relationships. In contrast to fifth chapter, Chapter 7 presents tests that evaluate the equivalence, not the difference between levels being tested. The last chapter deals with potential outlier or aberrant values and how to statistically determine if they should be removed from the sample data. Each statistical test presented includes an example problem with the resultant software output and how to interpret the results. Minimal time is spent on the mathematical calculations or theory. For those interested in the associated equations, supplemental figures are presented for each test with respective formulas. In addition, Appendix D presents the equations and proof for every output result for the various examples. Examples and results from the appropriate statistical results are displayed using Minitab 18Ò. In addition to the results, the required steps to analyze data using Minitab are presented with the examples for those having access to this software. Numerous other software packages are available, including based data analysis with Excel.

Author : Alex Dmitrienko, Ph.D.
Publisher : SAS Institute
ISBN 13 : 1629590304
Total Pages : 464 pages
Book Rating : 4.01/5 ( download)

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Download or read book Pharmaceutical Statistics Using SAS written by Alex Dmitrienko, Ph.D. and published by SAS Institute. This book was released on 2007-02-07 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces a range of data analysis problems encountered in drug development and illustrates them using case studies from actual pre-clinical experiments and clinical studies. Includes a discussion of methodological issues, practical advice from subject matter experts, and review of relevant regulatory guidelines.

Author : Emmanuel Lesaffre
Publisher : CRC Press
ISBN 13 : 1351718673
Total Pages : 547 pages
Book Rating : 4.77/5 ( download)

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Download or read book Bayesian Methods in Pharmaceutical Research written by Emmanuel Lesaffre and published by CRC Press. This book was released on 2020-04-15 with total page 547 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the early 2000s, there has been increasing interest within the pharmaceutical industry in the application of Bayesian methods at various stages of the research, development, manufacturing, and health economic evaluation of new health care interventions. In 2010, the first Applied Bayesian Biostatistics conference was held, with the primary objective to stimulate the practical implementation of Bayesian statistics, and to promote the added-value for accelerating the discovery and the delivery of new cures to patients. This book is a synthesis of the conferences and debates, providing an overview of Bayesian methods applied to nearly all stages of research and development, from early discovery to portfolio management. It highlights the value associated with sharing a vision with the regulatory authorities, academia, and pharmaceutical industry, with a view to setting up a common strategy for the appropriate use of Bayesian statistics for the benefit of patients. The book covers: Theory, methods, applications, and computing Bayesian biostatistics for clinical innovative designs Adding value with Real World Evidence Opportunities for rare, orphan diseases, and pediatric development Applied Bayesian biostatistics in manufacturing Decision making and Portfolio management Regulatory perspective and public health policies Statisticians and data scientists involved in the research, development, and approval of new cures will be inspired by the possible applications of Bayesian methods covered in the book. The methods, applications, and computational guidance will enable the reader to apply Bayesian methods in their own pharmaceutical research.