Author: B. Burt Gerstman Genre: Education Publisher: Jones & Bartlett Publishers ISBN: 9781284025477 Book Pages: 550 Format: PDF, ePub & Mobi
Basic Biostatistics is a concise, introductory text that covers biostatistical principles and focuses on the common types of data encountered in public health and biomedical fields. The text puts equal emphasis on exploratory and confirmatory statistical methods. Sampling, exploratory data analysis, estimation, hypothesis testing, and power and precision are covered through detailed, illustrative examples. The book is organized into three parts: Part I addresses basic concepts and techniques; Part II covers analytic techniques for quantitative response variables; and Part III covers techniques for categorical responses. The Second Edition offers many new exercises as well as an all new chapter on "Poisson Random Variables and the Analysis of Rates." With language, examples, and exercises that are accessible to students with modest mathematical backgrounds, this is the perfect introductory biostatistics text for undergraduates and graduates in various fields of public health. Features: Illustrative, relevant examples and exercises incorporated throughout the book. Answers to odd-numbered exercises provided in the back of the book. (Instructors may requests answers to even-numbered exercises from the publisher. Chapters are intentionally brief and limited in scope to allow for flexibility in the order of coverage. Equal attention is given to manual calculations as well as the use of statistical software such as StaTable, SPSS, and WinPepi. Comprehensive Companion Website with Student and Instructor's Resources.
Author: Robert C. Elston Genre: Medical Publisher: John Wiley & Sons ISBN: 9780470024911 Book Pages: 384 Format: PDF, ePub & Mobi
Anyone who attempts to read genetics or epidemiology research literature needs to understand the essentials of biostatistics. This book, a revised new edition of the successful Essentials of Biostatistics has been written to provide such an understanding to those who have little or no statistical background and who need to keep abreast of new findings in this fast moving field. Unlike many other elementary books on biostatistics, the main focus of this book is to explain basic concepts needed to understand statistical procedures. This Book: Surveys basic statistical methods used in the genetics and epidemiology literature, including maximum likelihood and least squares. Introduces methods, such as permutation testing and bootstrapping, that are becoming more widely used in both genetic and epidemiological research. Is illustrated throughout with simple examples to clarify the statistical methodology. Explains Bayes’ theorem pictorially. Features exercises, with answers to alternate questions, enabling use as a course text. Written at an elementary mathematical level so that readers with high school mathematics will find the content accessible. Graduate students studying genetic epidemiology, researchers and practitioners from genetics, epidemiology, biology, medical research and statistics will find this an invaluable introduction to statistics.
Author: Julien I. E. Hoffman Genre: Medical Publisher: Academic Press ISBN: 9780128026076 Book Pages: 770 Format: PDF, ePub & Mobi
Biostatistics for Practitioners: An Interpretative Guide for Medicine and Biology deals with several aspects of statistics that are indispensable for researchers and students across the biomedical sciences. The book features a step-by-step approach, focusing on standard statistical tests, as well as discussions of the most common errors. The book is based on the author’s 40+ years of teaching statistics to medical fellows and biomedical researchers across a wide range of fields. Discusses how to use the standard statistical tests in the biomedical field, as well as how to make statistical inferences (t test, ANOVA, regression etc.) Includes non-standards tests, including equivalence or non-inferiority testing, extreme value statistics, cross-over tests, and simple time series procedures such as the runs test and Cusums Introduces procedures such as multiple regression, Poisson regression, meta-analysis and resampling statistics, and provides references for further studies
Author: Harvey Motulsky Genre: Biometry Publisher: Oxford University Press ISBN: 9780199365067 Book Pages: 208 Format: PDF, ePub & Mobi
With its engaging and conversational tone, Essential Biostatistics: A Nonmathematical Approach provides a clear introduction to statistics for students in a wide range of fields, and a concise statistics refresher for scientists and professionals who need to interpret statistical results. It explains the ideas behind statistics in nonmathematical terms, offers perspectives on how to interpret published statistical results, and points out common conceptual traps to avoid. It can be used as a stand-alone text or as a supplement to a traditional statistics textbook.
Author: Beth Dawson Genre: Medical Publisher: McGraw Hill Professional ISBN: 9781260455373 Book Pages: 480 Format: PDF, ePub & Mobi
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Learn to evaluate and apply statistics in medicine, medical research, and all health-related fields Basic & Clinical Biostatistics provides medical students, researchers, and practitioners with the knowledge needed to develop sound judgment about data applicable to clinical care. This fifth edition has been updated throughout to deliver a comprehensive, timely introduction to biostatistics and epidemiology as applied to medicine, clinical practice, and research. Particular emphasis is on study design and interpretation of results of research. The book features “Presenting Problems” drawn from studies published in the medical literature, end-of-chapter exercises, and a reorganization of content to reflect the way investigators ask research questions. To facilitate learning, each chapter contain a set of key concepts underscoring the important ideas discussed. Features: • Key components include a chapter on survey research and expanded discussion of logistic regression, the Cox model, and other multivariate statistical methods • Extensive examples illustrate statistical methods and design issues • Updated examples using R, an open source statistical software package • Expanded coverage of data visualization, including content on visual perception and discussion of tools such as Tableau, Qlik and MS Power BI • Sampling and power calculations imbedded with discussion of the statistical model • Updated content, examples, and data sets throughout
Author: Alfred A. Rimm Genre: Biometry Publisher: Appleton-Century-Crofts ISBN: UOM:39015046948231 Book Pages: 353 Format: PDF, ePub & Mobi
Background; Definitions of populations and samples; Measures of location and dispersion; Data presentation; The normal distribution; Mechanics of conducting medical investigations; Design of experiments; Preparing a study protocol; Designing a questionnaire; Coding of data; Introduction to demography in medicine; Procedures for hypothesis testing; Standard error of the mean; Hypothesis-testing concepts; Z and t test - Comparing two or more groups; Percentages and the binomial distribution; Chi square; Correlation and regression; Nonparametric techniques; Rates; ratios; and standardization; Relative risk and measures of strength of associaion; Survival curves; Bibliography; Appendix; Index.