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. 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.
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.
Facts101 is your complete guide to Basic Biostatistics , Statistics for Public Health Practice. In this book, you will learn topics such as as those in your book plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.
Facts101 is your complete guide to Basic Biostatistics. In this book, you will learn topics such as as those in your book plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.
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.
Facts101 is your complete guide to Basic Biostatistics for Geneticists and Epidemiologists, A Practical Approach. In this book, you will learn topics such as as those in your book plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.
The ideal way to develop sound judgment about data applicable to clinical care First choice of students, educators, and practitioners A thorough, meaningful, and interesting presentation of biostatistics Helps students become informed users and consumers of biostatistics Learn to evaluate and apply statistics in medicine, medical research, and all health-related fields. Emphasis on the basics of biostatistics and epidemiology and the clinical applications in evidence-based medicine and decision-making methods NEW chapter on survey research Expanded discussion of logistic regression, the Cox model, and other multivariate statistical methods Key Concepts in each chapter pinpoint essential information Presenting Problems drawn from studies in the medical literature that illustrate the various statistical methods Downloadable NCSS statistical software, procedures, and data sets from the presenting problems End-of-chapter exercises Multiple-choice final practice exam
A fundamental and straightforward guide to using and understanding statistical concepts in medical research Designed specifically for healthcare practitioners who need to understand basic biostatistics but do not have much time to spare, The Essentials of Biostatistics for Physicians, Nurses and Clinicians presents important statistical methods used in today's biomedical research and provides insight on their appropriate application. Rather than provide detailed mathematics for each of these methods, the book emphasizes what healthcare practitioners need to know to interpret and incorporate the latest biomedical research into their practices. The author draws from his own experience developing and teaching biostatistics courses for physicians and nurses, offering a presentation that is non-technical and accessible. The book begins with a basic introduction to the relationship between biostatistics and medical research, asking the question "why study statistics?," while also exploring the significance of statisitcal methods in medical literature and clinical trials research. Subsequent chapters explore key topics, including: Correlation, regression, and logistic regression Diagnostics Estimating means and proportions Normal distribution and the central limit theorem Sampling from populations Contingency tables Meta-analysis Nonparametric methods Survival analysis Throughout the book, statistical methods that are often utilized in biomedical research are outlined, including repeated measures analysis of variance, hazard ratios, contingency tables, log rank tests, bioequivalence, cross-over designs, selection bias, and group sequential methods. Exercise sets at the end of each chapter allow readers to test their comprehension of the presented concepts and techniques. The Essentials of Biostatistics for Physicians, Nurses, and Clinicians is an excellent reference for doctors, nurses, and other practicing clinicians in the fields of medicine, public health, pharmacy, and the life sciences who need to understand and apply statistical methods in their everyday work. It also serves as a suitable supplement for courses on biostatistics at the upper-undergraduate and graduate levels.
Basic Biostatistics for Medical and Biomedical Practitioners, Second Edition, makes it easier to plan experiments, with emphasis on sample size. It also shows what choices are available when simple tests are unsuitable, and offers investigators an overview of complex tests that they will not do on their own, but need to know how they work. The second edition presents a new revised and enhanced version of the chapters, taking into consideration new developments and tools available recently, and discusses topics such as basic aspects of statistics, continuous distributions, hypothesis testing, discrete distributions, probability in epidemiology and medical diagnosis, comparing means, regression and correlation. 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, and it is a valuable source for researchers who need to understand more about biostatistics to apply to their work. Basic Biostatistics for Medical and Biomedical Practitioners, second edition is a valuable source for students and researchers looking to expand or refresh the understanding of statistics as it applies to the biomedical and research fields. Introduces procedures such as multiple regression, Poisson distribution, binomial and multinomial distributions, variance analysis, as well as designing and sampling clinical trials Presents a new section on ANCOVA Gives references to free online tests Each statistical inferential test is followed immediately by a problem, to give readers, the opportunity to perform the test and interpret it Includes over 200 diagrams, which enables the reader to visualize the results Discusses NHST testing in detail, its disadvantages and how to think about probability; the unsafety of accepting P
Author: Randy M. Page,Galen E. Cole,Thomas C. Timmreck
Publisher: Jones & Bartlett Learning
This text is an easy-to-understand, application-oriented guidebook for learning the basic principles of epidemiologic investigation. Numerous opportunities are presented to apply and test learning through problems and application exercises. Answers are provided.
Maintaining the same accessible and hands-on presentation, Introductory Biostatistics, Second Edition continues to provide an organized introduction to basic statistical concepts commonly applied in research across the health sciences. With plenty of real-world examples, the new edition provides a practical, modern approach to the statistical topics found in the biomedical and public health fields. Beginning with an overview of descriptive statistics in the health sciences, the book delivers topical coverage of probability models, parameter estimation, and hypothesis testing. Subsequently, the book focuses on more advanced topics with coverage of regression analysis, logistic regression, methods for count data, analysis of survival data, and designs for clinical trials. This extensive update of Introductory Biostatistics, Second Edition includes: • A new chapter on the use of higher order Analysis of Variance (ANOVA) in factorial and block designs • A new chapter on testing and inference methods for repeatedly measured outcomes including continuous, binary, and count outcomes • R incorporated throughout along with SAS®, allowing readers to replicate results from presented examples with either software • Multiple additional exercises, with partial solutions available to aid comprehension of crucial concepts • Notes on Computations sections to provide further guidance on the use of software • A related website that hosts the large data sets presented throughout the book Introductory Biostatistics, Second Edition is an excellent textbook for upper-undergraduate and graduate students in introductory biostatistics courses. The book is also an ideal reference for applied statisticians working in the fields of public health, nursing, dentistry, and medicine.