Basic Statistics And Pharmaceutical Statistical Applications Second Edition

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Basic Statistics and Pharmaceutical Statistical Applications, Second Edition

James E. De Muth
Basic Statistics and Pharmaceutical Statistical Applications Second Edition Book PDF

Author : James E. De Muth
Publisher : CRC Press
Page : 754 pages
File Size : 50,8 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.

Basic Statistics and Pharmaceutical Statistical Applications, Third Edition

James E. De Muth
Basic Statistics and Pharmaceutical Statistical Applications Third Edition Book PDF

Author : James E. De Muth
Publisher : CRC Press
Page : 850 pages
File Size : 47,6 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.

Basic Statistics and Pharmaceutical Statistical Applications

James E. De Muth
Basic Statistics and Pharmaceutical Statistical Applications Book PDF

Author : James E. De Muth
Publisher : CRC Press
Page : 624 pages
File Size : 55,6 Mb
Release : 1999-06-18
Category : Mathematics
ISBN : 0824719670

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

This extremely pragmatic and accessible reference provides scientists with a basic knowledge of statistics-focusing on the practical applications of statistical methods to research, quality control, and data analysis. Basic Statistics and Pharmaceutical Statistical Applications explores types of variables, random sampling, probability, measures of central tendency, and hypothesis (or significance) testing, discusses regression analysis, nonparametric tests, and power determination, and examines study designs, confidence intervals, dissolution testing, and bioequivalence. The author also describes the interrelation of hypotheses, test statistics, decision rules, computations, and statistical decisions and addresses testing factors such as precision, accuracy, bias, sensitivity, and selectivity Featuring almost 500 equations, tables, drawings, and references, Basic Statistics and Pharmaceutical Statistical Applications is required reading for pharmacists, analytical chemists, clinical trial monitors, medical writers, and upper-level undergraduate and graduate students in these disciplines.

Basic Statistics

Olive Jean Dunn,Virginia A. Clark
Basic Statistics Book PDF

Author : Olive Jean Dunn,Virginia A. Clark
Publisher : John Wiley & Sons
Page : 271 pages
File Size : 41,7 Mb
Release : 2009-08-11
Category : Mathematics
ISBN : 9780470496855

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Basic Statistics by Olive Jean Dunn,Virginia A. Clark Pdf

New Edition of a Classic Guide to Statistical Applications in the Biomedical Sciences In the last decade, there have been significant changes in the way statistics is incorporated into biostatistical, medical, and public health research. Addressing the need for a modernized treatment of these statistical applications, Basic Statistics, Fourth Edition presents relevant, up-to-date coverage of research methodology using careful explanations of basic statistics and how they are used to address practical problems that arise in the medical and public health settings. Through concise and easy-to-follow presentations, readers will learn to interpret and examine data by applying common statistical tools, such as sampling, random assignment, and survival analysis. Continuing the tradition of its predecessor, this new edition outlines a thorough discussion of different kinds of studies and guides readers through the important, related decision-making processes such as determining what information is needed and planning the collections process. The book equips readers with the knowledge to carry out these practices by explaining the various types of studies that are commonly conducted in the fields of medical and public health, and how the level of evidence varies depending on the area of research. Data screening and data entry into statistical programs is explained and accompanied by illustrations of statistical analyses and graphs. Additional features of the Fourth Edition include: A new chapter on data collection that outlines the initial steps in planning biomedical and public health studies A new chapter on nonparametric statistics that includes a discussion and application of the Sign test, the Wilcoxon Signed Rank test, and the Wilcoxon Rank Sum test and its relationship to the Mann-Whitney U test An updated introduction to survival analysis that includes the Kaplan Meier method for graphing the survival function and a brief introduction to tests for comparing survival functions Incorporation of modern statistical software, such as SAS, Stata, SPSS, and Minitab into the presented discussion of data analysis Updated references at the end of each chapter Basic Statistics, Fourth Edition is an ideal book for courses on biostatistics, medicine, and public health at the upper-undergraduate and graduate levels. It is also appropriate as a reference for researchers and practitioners who would like to refresh their fundamental understanding of statistical techniques.

Practical Statistics for Pharmaceutical Analysis

James E. De Muth
Practical Statistics for Pharmaceutical Analysis Book PDF

Author : James E. De Muth
Publisher : Springer Nature
Page : 257 pages
File Size : 46,9 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.

Pharmaceutical Statistics

Sanford Bolton,Charles Bon
Pharmaceutical Statistics Book PDF

Author : Sanford Bolton,Charles Bon
Publisher : CRC Press
Page : 666 pages
File Size : 55,9 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.

Essential Statistics for the Pharmaceutical Sciences

Philip Rowe
Essential Statistics for the Pharmaceutical Sciences Book PDF

Author : Philip Rowe
Publisher : John Wiley & Sons
Page : 432 pages
File Size : 47,9 Mb
Release : 2015-07-20
Category : Medical
ISBN : 9781118913406

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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 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.

Sample Size Calculations in Clinical Research, Second Edition

Shein-Chung Chow,Hansheng Wang,Jun Shao
Sample Size Calculations in Clinical Research Second Edition Book PDF

Author : Shein-Chung Chow,Hansheng Wang,Jun Shao
Publisher : CRC Press
Page : 480 pages
File Size : 52,6 Mb
Release : 2007-08-22
Category : Mathematics
ISBN : 9781584889830

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Sample Size Calculations in Clinical Research, Second Edition by Shein-Chung Chow,Hansheng Wang,Jun Shao Pdf

Focusing on an integral part of pharmaceutical development, Sample Size Calculations in Clinical Research, Second Edition presents statistical procedures for performing sample size calculations during various phases of clinical research and development. It provides sample size formulas and procedures for testing equality, noninferiority/superiority, and equivalence. A comprehensive and unified presentation of statistical concepts and practical applications, this book highlights the interactions between clinicians and biostatisticians, includes a well-balanced summary of current and emerging clinical issues, and explores recently developed statistical methodologies for sample size calculation. Whenever possible, each chapter provides a brief history or background, regulatory requirements, statistical designs and methods for data analysis, real-world examples, future research developments, and related references. One of the few books to systematically summarize clinical research procedures, this edition contains new chapters that focus on three key areas of this field. Incorporating the material of this book in your work will help ensure the validity and, ultimately, the success of your clinical studies.

Multiple Testing Problems in Pharmaceutical Statistics

Alex Dmitrienko,Ajit C. Tamhane,Frank Bretz
Multiple Testing Problems in Pharmaceutical Statistics Book PDF

Author : Alex Dmitrienko,Ajit C. Tamhane,Frank Bretz
Publisher : CRC Press
Page : 323 pages
File Size : 55,5 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

Bayesian Missing Data Problems

Ming T. Tan,Guo-Liang Tian,Kai Wang Ng
Bayesian Missing Data Problems Book PDF

Author : Ming T. Tan,Guo-Liang Tian,Kai Wang Ng
Publisher : CRC Press
Page : 337 pages
File Size : 51,8 Mb
Release : 2009-08-26
Category : Mathematics
ISBN : 9781420077506

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Bayesian Missing Data Problems by Ming T. Tan,Guo-Liang Tian,Kai Wang Ng Pdf

Bayesian Missing Data Problems: EM, Data Augmentation and Noniterative Computation presents solutions to missing data problems through explicit or noniterative sampling calculation of Bayesian posteriors. The methods are based on the inverse Bayes formulae discovered by one of the author in 1995. Applying the Bayesian approach to important real-wor

Monte Carlo Simulation for the Pharmaceutical Industry

Mark Chang
Monte Carlo Simulation for the Pharmaceutical Industry Book PDF

Author : Mark Chang
Publisher : CRC Press
Page : 566 pages
File Size : 53,6 Mb
Release : 2010-09-29
Category : Mathematics
ISBN : 9781439835937

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Monte Carlo Simulation for the Pharmaceutical Industry by Mark Chang Pdf

Helping you become a creative, logical thinker and skillful "simulator," Monte Carlo Simulation for the Pharmaceutical Industry: Concepts, Algorithms, and Case Studies provides broad coverage of the entire drug development process, from drug discovery to preclinical and clinical trial aspects to commercialization. It presents the theories and metho

Data and Safety Monitoring Committees in Clinical Trials

Jay Herson
Data and Safety Monitoring Committees in Clinical Trials Book PDF

Author : Jay Herson
Publisher : CRC Press
Page : 194 pages
File Size : 48,9 Mb
Release : 2009-03-13
Category : Medical
ISBN : 9781420070392

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Data and Safety Monitoring Committees in Clinical Trials by Jay Herson Pdf

Focusing on the practical clinical and statistical issues that arise in pharmaceutical industry trials, this book summarizes the author’s experience in serving on many data monitoring committees (DMCs) and in heading up a contract research organization that provided statistical support to nearly seventy-five DMCs. It explains the difference in DMC operations between the pharmaceutical industry and National Institutes of Health (NIH)-sponsored trials. Leading you through the types of reports for adverse events and lab values, the author presents the statistical requirements of data monitoring committees and gives advice on how statisticians can best interact with physician members of these committees. He also shows how physicians think differently about safety data than statisticians, proving that both views are needed.

Frailty Models in Survival Analysis

Andreas Wienke
Frailty Models in Survival Analysis Book PDF

Author : Andreas Wienke
Publisher : CRC Press
Page : 324 pages
File Size : 43,9 Mb
Release : 2010-07-26
Category : Mathematics
ISBN : 1420073915

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Frailty Models in Survival Analysis by Andreas Wienke Pdf

The concept of frailty offers a convenient way to introduce unobserved heterogeneity and associations into models for survival data. In its simplest form, frailty is an unobserved random proportionality factor that modifies the hazard function of an individual or a group of related individuals. Frailty Models in Survival Analysis presents a comprehensive overview of the fundamental approaches in the area of frailty models. The book extensively explores how univariate frailty models can represent unobserved heterogeneity. It also emphasizes correlated frailty models as extensions of univariate and shared frailty models. The author analyzes similarities and differences between frailty and copula models; discusses problems related to frailty models, such as tests for homogeneity; and describes parametric and semiparametric models using both frequentist and Bayesian approaches. He also shows how to apply the models to real data using the statistical packages of R, SAS, and Stata. The appendix provides the technical mathematical results used throughout. Written in nontechnical terms accessible to nonspecialists, this book explains the basic ideas in frailty modeling and statistical techniques, with a focus on real-world data application and interpretation of the results. By applying several models to the same data, it allows for the comparison of their advantages and limitations under varying model assumptions. The book also employs simulations to analyze the finite sample size performance of the models.

Bayesian Adaptive Methods for Clinical Trials

Scott M. Berry,Bradley P. Carlin,J. Jack Lee,Peter Muller
Bayesian Adaptive Methods for Clinical Trials Book PDF

Author : Scott M. Berry,Bradley P. Carlin,J. Jack Lee,Peter Muller
Publisher : CRC Press
Page : 316 pages
File Size : 55,5 Mb
Release : 2010-07-19
Category : Mathematics
ISBN : 9781439825518

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Bayesian Adaptive Methods for Clinical Trials by Scott M. Berry,Bradley P. Carlin,J. Jack Lee,Peter Muller Pdf

Already popular in the analysis of medical device trials, adaptive Bayesian designs are increasingly being used in drug development for a wide variety of diseases and conditions, from Alzheimer's disease and multiple sclerosis to obesity, diabetes, hepatitis C, and HIV. Written by leading pioneers of Bayesian clinical trial designs, Bayesian Adapti

Bayesian Modeling in Bioinformatics

Dipak K. Dey,Samiran Ghosh,Bani K. Mallick
Bayesian Modeling in Bioinformatics Book PDF

Author : Dipak K. Dey,Samiran Ghosh,Bani K. Mallick
Publisher : CRC Press
Page : 466 pages
File Size : 55,9 Mb
Release : 2010-09-03
Category : Mathematics
ISBN : 9781420070187

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Bayesian Modeling in Bioinformatics by Dipak K. Dey,Samiran Ghosh,Bani K. Mallick Pdf

Bayesian Modeling in Bioinformatics discusses the development and application of Bayesian statistical methods for the analysis of high-throughput bioinformatics data arising from problems in molecular and structural biology and disease-related medical research, such as cancer. It presents a broad overview of statistical inference, clustering, and c