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THE definitive basic book on applied biostatistical methods. Particularly suited for readers with limited mathematical background, it makes biostatistics accessible by using thorough, intuitive explanations (often laced with humor and described with an appeal to common sense logical notions), and by focusing on selected statistical methods and procedures applicable to the biological, biomedical, and health sciences. It discusses the concepts of the method, the rationale of the method, when to use the method, and how to interpret the results. The computations (while included) are not the focus of the presentation. Several larger examples are used repeatedly (from chapter to chapter) to demonstrate how investigators develop and carry out a study by moving from problem statement, to data accrual, to computation of descriptive statistics, to estimation and hypothesis testing, including univariate, bivariate and finally multivariable procedures for both discrete and continuous variables. The book is not tied to any particular computer package (e.g., SAS, Systat, BMDP), however many prototype computerized outputs of statistical analyses are illustrated and discussed in detail, with guidelines for reading and interpreting results. Descriptive Statistics. Probability. Populations, Samples, and Inference. Some Important Distributions. Estimation. Hypothesis Testing. Frequency Data. The Analysis of Variance. Simple Linear Regression and Correlation. Multiple Regression. Logistic Regression. Repeated Measures and Longitudinal Studies. Distribution-Free and Nonparametric Methods. Demography and Vital Statistics. For anyone involved in the biological, biomedical, or health sciences.

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Scientists in the throes of research use an extensive data bank to access structural information on proteins and nucleic acids. Meanwhile, geneticists use a highly specialized form of software to analyze the hybridization pattern of DNA chips.

The past decade has been tremendously successful for biotechnology and pharmaceutical industries. This success has been a result of astounding technical advancements in genome sequencing (genomics), protein identification (proteomics), and data analysis-collectively called bioinformatics. The exponential increase in computer processing and disk storage has served as a catalyst and been instrumental in the development of bioinformatics.

Bioinformatics Basics: Applications in Biological Science and Medicine describes the origin of this field and the organization of public domain databases with an introductory tutorial for the services described. This book explains these services in a relatively simple fashion. Nevertheless, a biological background is necessary to understand and properly utilize the various software components and services described in this book. A basic biological background is also necessary for understanding the biological and medical significance of the collected data.

Bioinformatics Basics is a fast growing field, and it will take some years for a stabilization to occur. Until then, hundreds of Internet sites allow us to search, compare, and manipulate this data in its relatively raw format. Bioinformatics Basics: Applications in Biological Science and Medicine concentrates on three major database clusters and relevant software tools that are maintained in the United States, Europe, and Japan, offering free access and analysis through the Internet.

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The detailed, practical, step-by-step advice in this user-friendly guide will help students and researchers to communicate their work more effectively through the written word. Covering all aspects of the writing process, this concise, accessible resource is critically acclaimed, well-structured, comprehensive, and entertaining. Self-help exercises and abundant examples from actual typescripts draw on the authors' extensive experience working both as researchers and with them. Whilst retaining the user-friendly and pragmatic style of earlier editions, this third edition has been updated and broadened to incorporate such timely topics as guidelines for successful international publication, ethical and legal issues including plagiarism and falsified data, electronic publication, and text-based talks and poster presentations. With advice applicable to many writing contexts in the majority of scientific disciplines, this book is a powerful tool for improving individual skills and an eminently suitable text for classroom courses or seminars.

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Power analysis is an essential tool for determining whether a statistically significant result can be expected in a scientific experiment prior to the experiment being performed. This comprehensive, accessible book provides practicing researchers with step-by-step instructions for conducting power/sample size analyses, assuming only basic prior knowledge of summary statistics and normal distribution. It contains a unified approach to statistical power analysis, with numerous easy-to-use tables that make further calculations or statistical expertise unnecessary.

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Dealing with dynamics of processes that repeat themselves regularly, this revised and updated edition extends the thread from 1980 to the present day, concentrating on areas of interest where there will be much activity in the future. This involves going through spatial biochemical, electrophysiological, and organismic dynamical systems and patterns that were discovered by pursuing the theme of phase singularities introduced in the original book. In particular the work on excitability in cell membranes will be thoroughly updated as will the references throughout the book.

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The best laboratory math text on the market for almost 20 years, this title covers both the general principles of mathematics and specific equations, formulas, and calculations used for laboratory testing. It provides simple, easily understood explanations of calculations commonly used in clinical and biological laboratories. Contains more than 1000 practice problems.

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Biostatistics for the Biological and Health Sciences is the result of collaboration between the author of the #1 statistics book in the country and an expert in the biological sciences field. The major objective of this book is to provide a thorough, yet engaging introduction to statistics for students and professors in the biological, life, and health sciences.  This text reflects the important features of a modern introductory statistics course and includes an abundance of real data and biological applications, and a variety of pedagogical components to help students succeed in their study of biological statistics.  MARKET: It is the ideal introduction to statistics for students and professors in the biological, life, and health sciences.

 

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This is the second edition of a highly successful and well-received textbook on the responsible conduct of biomedical and health science research. It is aimed at faculty and graduate students in health science and biomedical science programs. In addition, those on National Institute of Health research grants, administrators at universities, and academic health centers will find it a useful resource. The major changes include new chapters providing overviews of each topic, several new published articles added to the readings, revised case studies as well as further readings and web addresses.

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