Practical Statistics For Pharmaceutical Analysis

Author : James E. De Muth
Publisher : Springer Nature
Page : 257 pages
File Size : 42,6 Mb
Release : 2019-12-10
Category : Medical
ISBN : 9783030339890

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Practical Statistics for Pharmaceutical Analysis by James E. De Muth Pdf

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 : James E. De Muth
Publisher : CRC Press
Page : 850 pages
File Size : 55,6 Mb
Release : 2014-04-28
Category : Mathematics
ISBN : 9781466596733

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Basic Statistics and Pharmaceutical Statistical Applications, Third Edition by James E. De Muth Pdf

Building on its best-selling predecessors, Basic Statistics and Pharmaceutical Statistical Applications, Third Edition covers statistical topics most relevant to those in the pharmaceutical industry and pharmacy practice. It focuses on the fundamentals required to understand descriptive and inferential statistics for problem solving. Incorporating new material in virtually every chapter, this third edition now provides information on software applications to assist with evaluating data. New to the Third Edition Use of Excel® and Minitab® for performing statistical analysis Discussions of nonprobability sampling procedures, determining if data is normally distributed, evaluation of covariances, and testing for precision equivalence Expanded sections on regression analysis, chi square tests, tests for trends with ordinal data, and tests related to survival statistics Additional nonparametric procedures, including the one-sided sign test, Wilcoxon signed-ranks test, and Mood’s median test With the help of flow charts and tables, the author dispels some of the anxiety associated with using basic statistical tests in the pharmacy profession and helps readers correctly interpret their results using statistical software. Through the text’s worked-out examples, readers better understand how the mathematics works, the logic behind many of the equations, and the tests’ outcomes.

Author : Bolton Sanford
Publisher : CRC Press
Page : 776 pages
File Size : 51,9 Mb
Release : 1997-01-17
Category : Business & Economics
ISBN : UOM:39015039921047

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Pharmaceutical Statistics Practical And Clinical Applications, Third Edition by Bolton Sanford Pdf

This edition offers new and expanded information on recent developments in stability data analysis, concepts of statistical outliners, bioequivalence studies, problems in sampling and devising limits for product release, covariance analysis and tolerance intervals, multiple endpoints and clinical data analysis, and more. student price which is available upon request from Marcel Dekker.

Author : Alex Dmitrienko, Ph.D.,Alex Dmitrienko, PhD,Christy Chuang-Stein, Ph.D.,Ralph B. D'Agostino,Sr., Ph.D.
Publisher : SAS Institute
Page : 464 pages
File Size : 45,7 Mb
Release : 2007-02-07
Category : Computers
ISBN : 9781629590301

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Pharmaceutical Statistics Using SAS by Alex Dmitrienko, Ph.D.,Alex Dmitrienko, PhD,Christy Chuang-Stein, Ph.D.,Ralph B. D'Agostino,Sr., Ph.D. Pdf

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 : S. L. R. Ellison,Trevor J. Farrant,Vicki Barwick
Publisher : Royal Society of Chemistry
Page : 283 pages
File Size : 41,6 Mb
Release : 2009
Category : Science
ISBN : 9780854041312

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Practical Statistics for the Analytical Scientist by S. L. R. Ellison,Trevor J. Farrant,Vicki Barwick Pdf

This manual is designed to assist analytical chemists who have to use a range of statistical tools in their treatment of experimental data to obtain reliable results.

Author : Sanford Bolton,Charles Bon
Publisher : CRC Press
Page : 666 pages
File Size : 54,7 Mb
Release : 2009-12-23
Category : Mathematics
ISBN : 9781420074239

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Pharmaceutical Statistics by Sanford Bolton,Charles Bon Pdf

Through the use of practical examples and solutions, Pharmaceutical Statistics: Practical and Clinical Applications, Fifth Edition provides the most complete and comprehensive guide to the various statistical applications and research issues in the pharmaceutical industry, particularly in clinical trials and bioequivalence studies.

Author : Sanford Bolton
Publisher : Unknown
Page : 680 pages
File Size : 49,6 Mb
Release : 1990
Category : Medical
ISBN : UOM:39015017972749

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Pharmaceutical Statistics by Sanford Bolton Pdf

Author : Peter Bruce,Andrew Bruce
Publisher : "O'Reilly Media, Inc."
Page : 395 pages
File Size : 55,8 Mb
Release : 2017-05-10
Category : Computers
ISBN : 9781491952917

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Practical Statistics for Data Scientists by Peter Bruce,Andrew Bruce Pdf

Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data

Author : Sanford Bolton,Charles Bon
Publisher : CRC Press
Page : 755 pages
File Size : 40,5 Mb
Release : 2003-10-17
Category : Medical
ISBN : 1135524742

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Pharmaceutical Statistics by Sanford Bolton,Charles Bon Pdf

The fourth edition of a bestselling text, this book covers the use of statistics in pharmaceutical research and clinical evaluation. It includes a disk with special prograns to aid in problem analysis. The coverage progresses from basic definitions and concepts, data graphics, and probability through ANOVA, factorial designs, and optimization techniques. The discussion and examples have been expanded to include GMPs, validation, and quality control, as well as procedures and analyses in bioequivalence studies. The text presents fresh material on concept conformity and release targets and describes linear regression and correlation, the analysis of variance, and crossover designs.

Author : Philip Rowe
Publisher : John Wiley & Sons
Page : 432 pages
File Size : 43,5 Mb
Release : 2015-07-20
Category : Medical
ISBN : 9781118913413

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Essential Statistics for the Pharmaceutical Sciences by Philip Rowe Pdf

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 : Alex Dmitrienko,Ajit C. Tamhane,Frank Bretz
Publisher : CRC Press
Page : 323 pages
File Size : 52,8 Mb
Release : 2009-12-08
Category : Mathematics
ISBN : 9781584889854

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Multiple Testing Problems in Pharmaceutical Statistics by Alex Dmitrienko,Ajit C. Tamhane,Frank Bretz Pdf

Useful Statistical Approaches for Addressing Multiplicity IssuesIncludes practical examples from recent trials Bringing together leading statisticians, scientists, and clinicians from the pharmaceutical industry, academia, and regulatory agencies, Multiple Testing Problems in Pharmaceutical Statistics explores the rapidly growing area of multiple c

Author : Alex Dmitrienko,Christy Chuang-Stein,Ralph D'Agostino
Publisher : Unknown
Page : 460 pages
File Size : 51,8 Mb
Release : 2007-02-07
Category : Computers
ISBN : 164295618X

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Pharmaceutical Statistics Using SAS by Alex Dmitrienko,Christy Chuang-Stein,Ralph D'Agostino Pdf

Pharmaceutical Statistics Using SAS: A Practical Guide offers extensive coverage of cutting-edge biostatistical methodology used in drug development and the practical problems facing today's drug developers. Written by well-known experts in the pharmaceutical industry Alex Dmitrienko, Christy Chuang-Stein, and Ralph D'Agostino, it provides relevant tutorial material and SAS examples to help readers new to a certain area of drug development quickly understand and learn popular data analysis methods and apply them to real-life problems. Step-by-step, the book introduces a wide range of data analysis problems encountered in drug development and illustrates them using a wealth of case studies from actual pre-clinical experiments and clinical studies. The book also provides SAS code for solving the problems. Among the topics addressed are these: drug discovery experiments to identify promising chemical compounds animal studies to assess the toxicological profile of these compounds clinical pha

Author : Douglas G. Altman
Publisher : CRC Press
Page : 630 pages
File Size : 44,5 Mb
Release : 1990-11-22
Category : Mathematics
ISBN : 0412276305

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Practical Statistics for Medical Research by Douglas G. Altman Pdf

Most medical researchers, whether clinical or non-clinical, receive some background in statistics as undergraduates. However, it is most often brief, a long time ago, and largely forgotten by the time it is needed. Furthermore, many introductory texts fall short of adequately explaining the underlying concepts of statistics, and often are divorced from the reality of conducting and assessing medical research. Practical Statistics for Medical Research is a problem-based text for medical researchers, medical students, and others in the medical arena who need to use statistics but have no specialized mathematics background. The author draws on twenty years of experience as a consulting medical statistician to provide clear explanations to key statistical concepts, with a firm emphasis on practical aspects of designing and analyzing medical research. The text gives special attention to the presentation and interpretation of results and the many real problems that arise in medical research.

Author : Shein-Chung Chow,Jen-pei Liu
Publisher : CRC Press
Page : 581 pages
File Size : 41,6 Mb
Release : 2018-10-03
Category : Mathematics
ISBN : 9781482273137

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Statistical Design and Analysis in Pharmaceutical Science by Shein-Chung Chow,Jen-pei Liu Pdf

"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 : James E. De Muth
Publisher : CRC Press
Page : 754 pages
File Size : 50,5 Mb
Release : 2006-05-10
Category : Mathematics
ISBN : 0849337992

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Basic Statistics and Pharmaceutical Statistical Applications, Second Edition by James E. De Muth Pdf

The first edition of Basic Statistics and Pharmaceutical Statistical Applications successfully provided a practical, easy-to-read, basic statistics book. This second edition not only updates the previous edition, but expands coverage in the area of biostatistics and how it relates to real-world professional practice. Taking you on a roller coaster ride through the world of statistics, Dr. De Muth clearly details the methodology necessary to summarize data and make informed decisions about observed outcomes. What's new or different in the Second Edition? New chapters cover: Measures of association primarily with nominal and ordinal data and and more than 15 tests Survival statistics including actuarial analysis and an introduction to multiple regression with survival data using proportional hazards regression An introduction to the topic of evidence-based practice with discussions of sensitivity and specificity, predictive values, and likelihood ratios Odds ratios and relative risk ratios that provide valuable information for dealing with probability, odds, and risk New sections address Power and sample size determination for two-sample Z-tests of proportions Clinical equivalence and noninferiority studies, process capability, and tolerance limits Methods for assessing repeatability and reproducibility Expanded information includes: Chi square, repeated measures designs, Latin Square designs, nine multiple comparison tests, and outlier testing Inverse prediction with linear regression, handling of multiple data points at different levels of independent variable, and assessment of parallelism of slopes for two samples Additional types of bivariate correlations and various assessments for independence and randomness More nonparametric tests including new information on post hoc comparisons for a significant Kruskal-Wallis test, the Kolmogorov-Smirnov goodness-of-fit test, and the Anderson-Darling test, as well as runs and range tests Eight new tables useful for the interpretation of some of the new inferential statistics De Muth provides concrete examples that enable you to effectively manage information in your day-to-day problem solving and reporting of findings. By avoiding heavy-duty mathematics and theory, even the mathematically challenged can benefit and increase their confidence in using statistics procedures.