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. 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. Sampling, exploratory data analysis, estimation, hypothesis testing, and power and precision are covered. Basic Biostatistics for Medical and Biomedical Practitioners, Second Edition makes it easier to plan experiments, with an emphasis on sample size.
It also shows what choices are available when simple tests are unsuitable and offers investigators an overview of how the kinds of complex tests that they won't do on.
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.
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. This book is developed based on complains derived from Health students, finding difficult with Biostatistics Courses. The use of the computer and software allows a sharper focus on the concepts, letting the computer do the necessary number-crunching.
Biostatistics is the branch of statistics that deals with data relating to living organisms. This manual is a comprehensive guide to biostatistics for medical students.
Beginning with an overview of bioethics in clinical research, an introduction to statistics, and discussion on research methodology, the following sections cover different statistical tests, data interpretation, probability, and other statistical concepts such as demographics and life tables. Key Points Comprehensive guide to biostatistics for medical students Covers research methodology, statistical tests, data interpretation, probability and more Includes other statistical concepts such as demographics and life tables Explains report writing and grant application in depth.
Score your highest in biostatistics Biostatistics is a required course for students of medicine, epidemiology, forestry, agriculture, bioinformatics, and public health. In years past this course has been mainly a graduate-level requirement; however its application is growing and course offerings at the undergraduate level are exploding.
Biostatistics For Dummies is an excellent resource for those taking a course, as well as for those in need of a handy reference to this complex material. Biostatisticians—analysts of biological data—are charged with finding answers to some of the world's most pressing health questions: how safe or effective are drugs hitting the market today?
What causes autism? What are the risk factors for cardiovascular disease? Are those risk factors different for men and women or different ethnic groups? Biostatistics For Dummies examines these and other questions associated with the study of biostatistics. Provides plain-English explanations of techniques and clinical examples to help Serves as an excellent course supplement for those struggling with the complexities of the biostatistics Tracks to a typical, introductory biostatistics course Biostatistics For Dummies is an excellent resource for anyone looking to succeed in this difficult course.
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. 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. To facilitate learning, each chapter contain a set of key concepts underscoring the important ideas discussed. The ability to analyze and interpret enormous amounts of data has become a prerequisite for success in allied healthcare and the health sciences.
Now in its 11th edition, Biostatistics: A Foundation for Analysis in the Health Sciences continues to offer in-depth guidance toward biostatistical concepts, techniques, and practical applications in the modern healthcare setting.
Comprehensive in scope yet detailed in coverage, this text helps students understand—and appropriately use—probability distributions, sampling distributions, estimation, hypothesis testing, variance analysis, regression, correlation analysis, and other statistical tools fundamental to the science and practice of medicine.
Clearly-defined pedagogical tools help students stay up-to-date on new material, and an emphasis on statistical software allows faster, more accurate calculation while putting the focus on the underlying concepts rather than the math. Students develop highly relevant skills in inferential and differential statistical techniques, equipping them with the ability to organize, summarize, and interpret large bodies of data.
Suitable for both graduate and advanced undergraduate coursework, this text retains the rigor required for use as a professional reference. Virtually all of the testable terms, concepts, persons, places, and events from the textbook are included.
Cram Just the FACTS studyguides give all of the outlines, highlights, notes, and quizzes for your textbook with optional online comprehensive practice tests. Only Cram is Textbook Specific.
Accompanys: 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.
Designed for working scientists, offers a survey of basic biostatistical methods and provides an introduction to more complicated statistical methods requiring collaboration with a biostatician. For instructors, we offer an answer key to even-numbered exercises, as well as PowerPoint Presentations, featuring charts and graphs that illustrate key points of the text. Statistics for Public Health Practice B. Selected pages Title Page.
Burt Gerstman Limited preview — The text puts equal emphasis on exploratory and confirmatory statistical methods. This website uses cookies to improve your experience while you navigate through the website. Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are as essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website.
These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may have an effect on your browsing experience. Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. Gerstman Published 26 July Computer Science Basic Biostatistics is a concise introduction to biostatistics for both undergraduates and graduates in various fields of public health.
The book will include strong coverage of biostatistical principles and focuses on common types of data encountered in public health and biomedical fields. This text will put equal emphasis on exploratory and confirmatory statistical methods.
Sampling, exploratory data analysis, estimation, hypothesis testing and power and precision will be covered through… Expand. Save to Library Save. Create Alert Alert. Share This Paper.
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