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Applied Statistics in Toxicology and Pharmacology

Applied Statistics in Toxicology and Pharmacology
Author: Katsumi Kobayashi
Publisher:
Total Pages: 0
Release: 2003
Genre: Pharmacology
ISBN: 9781578083046
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This book will serve as an excellent field guide to applied toxicology and pharmacology investigators. It is an easy-to-read compilation of topics in applied statistics that might be considered a FAQ or perhaps more properly, a compilation of answers to questions that should be frequently asked, but often are not.

A Handbook of Applied Statistics in Pharmacology

A Handbook of Applied Statistics in Pharmacology
Author: Katsumi Kobayashi
Publisher: CRC Press
Total Pages: 230
Release: 2012-10-18
Genre: Mathematics
ISBN: 1466515406
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Statistics plays an important role in pharmacology and related subjects such as toxicology and drug discovery and development. Improper statistical tool selection for analyzing the data obtained from studies may result in wrongful interpretation of the performance or safety of drugs. This book communicates statistical tools in simple language. The

Statistics in Toxicology Using R

Statistics in Toxicology Using R
Author: Ludwig A. Hothorn
Publisher: CRC Press
Total Pages: 294
Release: 2016-01-13
Genre: Mathematics
ISBN: 1498786758
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The apparent contradiction between statistical significance and biological relevance has diminished the value of statistical methods as a whole in toxicology. Moreover, recommendations for statistical analysis are imprecise in most toxicological guidelines. Addressing these dilemmas, Statistics in Toxicology Using R explains the statistical analysi

Nonclinical Statistics for Pharmaceutical and Biotechnology Industries

Nonclinical Statistics for Pharmaceutical and Biotechnology Industries
Author: Lanju Zhang
Publisher: Springer
Total Pages: 698
Release: 2016-01-13
Genre: Medical
ISBN: 3319235583
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This book serves as a reference text for regulatory, industry and academic statisticians and also a handy manual for entry level Statisticians. Additionally it aims to stimulate academic interest in the field of Nonclinical Statistics and promote this as an important discipline in its own right. This text brings together for the first time in a single volume a comprehensive survey of methods important to the nonclinical science areas within the pharmaceutical and biotechnology industries. Specifically the Discovery and Translational sciences, the Safety/Toxiology sciences, and the Chemistry, Manufacturing and Controls sciences. Drug discovery and development is a long and costly process. Most decisions in the drug development process are made with incomplete information. The data is rife with uncertainties and hence risky by nature. This is therefore the purview of Statistics. As such, this book aims to introduce readers to important statistical thinking and its application in these nonclinical areas. The chapters provide as appropriate, a scientific background to the topic, relevant regulatory guidance, current statistical practice, and further research directions.

Statistics In the Pharmaceutical Industry, 3rd Edition

Statistics In the Pharmaceutical Industry, 3rd Edition
Author: Charles Ralph Buncher
Publisher: CRC Press
Total Pages: 606
Release: 1993-11-17
Genre: Mathematics
ISBN: 9780824790738
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This rewritten and updated second edition provides comprehensive information on the wide-ranging applications of statistics in the pharmacological field. Focusing on practical aspects, it sets out to bridge the gap between industry and academia.;Reflecting the changes that have taken place since publication of the first edition, this volume covers new topics such as: cancer clinical trials, clinical trials of AIDS patients and animal tumorigenicity studies; the development of antiepileptic drugs; the role of epidemiology in postmarketing trials and adverse drug experience; computer-assisted new drug application (CANDA) submissions; contract research organizations; interim analysis in clinical trials; and room-temperature tests for the stability of drugs.;This work is intended as: a reference for statisticians, biostatisticians, pharmacologists, administrators, managers, and scientists in the pharmaceutical industry; and a text for graduate students taking courses in applied statistics or pharmaceutical statistics.

Statistics for Toxicologists

Statistics for Toxicologists
Author: David S. Salsburg
Publisher: CRC Press
Total Pages: 215
Release: 2020-08-26
Genre: Mathematics
ISBN: 1000103382
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This book explains how the computer programs work and why and when they can be applied to problems in toxicology. It discusses the statistical models used and their applications in a general fashion. The book overviews the problems that can arise from the blind use of the statistical models.

Statistics and Experimental Design for Toxicologists and Pharmacologists, Fourth Edition

Statistics and Experimental Design for Toxicologists and Pharmacologists, Fourth Edition
Author: Shayne C. Gad
Publisher: CRC Press
Total Pages: 600
Release: 2005-07-18
Genre: Medical
ISBN: 9780849322143
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Purposefully designed as a resource for practicing and student toxicologists, Statistics and Experimental Design for Toxicologists and Pharmacologists, Fourth Edition equips you for the regular statistical analysis of experimental data. Starting with the assumption of basic mathematical skills and knowledge, the author supplies a complete and systematic yet practical introduction to the statistical methodologists available for, and used in, the discipline. For every technique presented, a worked example from toxicology is also presented. See what's new in the Fourth Edition: The first practical guide to performing meta analysis allowing for using the power inherent in multiple similar studies Coverage of Bayesian analysis and data analysis in pharmacology and toxicology Almost 200 problems with solutions Discussion of analysis of receptor binding assays, safety pharmacology assays and other standard types conducted in pharmacology A new chapter explaining the basics of Good Laboratory Practices (GLPs) For those with computer skills, this edition has been enhanced with the addition of basic SAS Written specifically for toxicologists and pharmacologists, the author draws on more than 30 years of experience to provide understanding of the philosophical underpinnings for the overall structure of analysis. The book's organization fosters the ordered development of skills and yet still facilitates ease of access to information as needed. This Fourth Edition gives you the tools necessary to perform rigorous and critical analysis of experimental data and the insight to know when to use them.

Experimental Design and Statistical Analysis for Pharmacology and the Biomedical Sciences

Experimental Design and Statistical Analysis for Pharmacology and the Biomedical Sciences
Author: Paul J. Mitchell
Publisher: John Wiley & Sons
Total Pages: 260
Release: 2022-04-06
Genre: Medical
ISBN: 1119437660
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Experimental Design and Statistical Analysis for Pharmacology and the Biomedical Sciences A practical guide to the use of basic principles of experimental design and statistical analysis in pharmacology Experimental Design and Statistical Analysis for Pharmacology and the Biomedical Sciences provides clear instructions on applying statistical analysis techniques to pharmacological data. Written by an experimental pharmacologist with decades of experience teaching statistics and designing preclinical experiments, this reader-friendly volume explains the variety of statistical tests that researchers require to analyze data and draw correct conclusions. Detailed, yet accessible, chapters explain how to determine the appropriate statistical tool for a particular type of data, run the statistical test, and analyze and interpret the results. By first introducing basic principles of experimental design and statistical analysis, the author then guides readers through descriptive and inferential statistics, analysis of variance, correlation and regression analysis, general linear modelling, and more. Lastly, throughout the textbook are numerous examples from molecular, cellular, in vitro, and in vivo pharmacology which highlight the importance of rigorous statistical analysis in real-world pharmacological and biomedical research. This textbook also: Describes the rigorous statistical approach needed for publication in scientific journals Covers a wide range of statistical concepts and methods, such as standard normal distribution, data confidence intervals, and post hoc and a priori analysis Discusses practical aspects of data collection, identification, and presentation Features images of the output from common statistical packages, including GraphPad Prism, Invivo Stat, MiniTab and SPSS Experimental Design and Statistical Analysis for Pharmacology and the Biomedical Sciences is an invaluable reference and guide for undergraduate and graduate students, post-doctoral researchers, and lecturers in pharmacology and allied subjects in the life sciences.

Statistical Methods in Toxicology

Statistical Methods in Toxicology
Author: Ludwig Hothorn
Publisher: Springer Science & Business Media
Total Pages: 158
Release: 2013-03-08
Genre: Medical
ISBN: 364248736X
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This book contains selected papers from a workshop on modern statistical methods in toxicology held during the EUROTOX '90 conference in Leipzig. The papers deal with the biostatistical evaluation of the commonly used toxicological assays, i.e. mutagenicity, long-term carcinogenicity, embryotoxicity and chronic toxicity assays. The biological background is considered in detail, and most of the related statistical approaches described. In five overview papers, the present state of the art of the related topics is given, while in several contributed papers new approaches are discussed. The most important features are: - A new view on the per-litter analysis problem in em- bryotoxicity assays. - A highly sophisticated treatment of the so-called muta-tox problem in mutagenicity assays. - A detailed discussion of the multiplicity problem based on the closed testing procedure. This volume provides readers with an overview of modern biostatistical methods for several toxicological assays and is in part intended for direct, practical use.