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 (5.0 / 5.0) Statistical ideas have been integral to the development of epidemiology and continue to provide the tools needed to interpret epidemiological studies. Although epidemiologists do not need a highly mathematical background in statistical theory to conduct and interpret such studies, they do need more than an encyclopedia of "recipes."Statistics for Epidemiology achieves just the right balance between the two approaches, building an intuitive understanding of the methods most important to practitioners and the skills to use them effectively. It develops the techniques for analyzing simple risk factors and disease data, with step-by-step extensions that include the use of binary regression. It covers the logistic regression model in detail and contrasts it with the Cox model for time-to-incidence data. The author uses a few simple case studies to guide readers from elementary analyses to more complex regression modeling. Following these examples through several chapters makes it easy to compare the interpretations that emerge from varying approaches.Written by one of the top biostatisticians in the field, Statistics for Epidemiology stands apart in its focus on interpretation and in the depth of understanding it provides. It lays the groundwork that all public health professionals, epidemiologists, and biostatisticians need to successfully design, conduct, and analyze epidemiological studies.
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$74.79 |
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 (4.0 / 5.0) Extremely popular, this student-friendly text presents the practical areas of statistics in terms of their relevance to medicine and the life sciences. Includes many illustrative examples and challenging problems that reinforce the author’s unique and intuitive approach to the subject. The new edition features a new two-color design, examples taken from current biomedical literature, and review questions within each chapter.
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$40.00 |
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 (2.5 / 5.0) James Stevens’ best-selling text, <EM>Intermediate Statistics, is written for those who use, rather than develop, statistical techniques. Dr. Stevens focuses on a conceptual understanding of the material rather than on proving the results. SAS and SPSS are an integral part of each chapter. Definitional formulas are used on small data sets to provide conceptual insight into what is being measured.<P>The assumptions underlying each analysis are emphasized and the reader is shown how to test the critical assumptions using SPSS or SAS. Printouts with annotations from SAS or SPSS show how to process the data for each analysis. The annotations highlight what the numbers mean and how to interpret the results. Numerical, conceptual, and computer exercises enhance understanding. Answers are provided for half of the exercises.<P>The book offers comprehensive coverage of one-way, power, and factorial analysis of variance, repeated measures analysis, simple and multiple regression, analysis of covariance, and HLM. Power analysis is an integral part of the book. A computer example of real data integrates many of the concepts. Highlights of the Third Edition include:
Intended for intermediate statistics or statistics II courses taught in departments of psychology, education, business, and other social and behavioral sciences, a prerequisite of introductory statistics is required. An <EM>Instructor's Resource is available upon adoption. See www.researchmethodsarena.com .
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$54.00 |
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 (3.0 / 5.0) Previous Edition 0763728756
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$32.96 |
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(4.0 / 5.0) Statistics in Kinesiology, Third Edition, is an introductory text that will help students learn how to use a variety of statistical techniques. The book uses examples and data sets that should be familiar to students majoring in kinesiology and related fields, thus making it easier to learn and apply the statistical concepts.
This new edition contains the following features: ·Updates and revisions that develop statistical techniques in a simpler and clearer way ·Upgraded content with new and extensive problem sets to help students interact with the subject matter ·Techniques that can be applied to kinesiological subdisciplines and that are relevant to the movement sciences <P>Using statistical techniques from physical education, exercise science, administration, and pedagogy, students with basic algebraic skills will be able to interpret data by hand calculation and check their results against computer output. While the text preserves its basic techniques, there is expanded content on computer usage in relation to statistics, which will further enhance understanding and reflect the changes in the field. By gaining knowledge of the mathematical formulas used by software programs, students will learn to critically evaluate computer results and interpret data with greater confidence and ease. The extensive problem sets, complete with answers, come with key words to identify the content that students should carefully review. The new problem sets in this edition are designed to help students interact more fully with the content and thus more fully learn the concepts and techniques. In the early chapters, students receive a thorough introduction to measurement, statistics, and research; learn how to organize and display data; and calculate using percentiles. Students then move on to study measures of central tendency and variability, curves and sampling errors, and correlations and different types of regressions. Later they learn how to use t tests and how to analyze variance, comparing means and using repeated measures. Students also learn advanced statistical procedures and how to analyze nonparametric data. This new edition is highly readable and well illustrated with figures explaining or demonstrating statistical concepts. By using Statistics in Kinesiology, Third Edition, students should gain a firm knowledge on the relevant statistical techniques used in physical activity fields, and professionals have a great reference at their fingertips.
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$26.46 |
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(5.0 / 5.0) <P>Building on the successful Analysing Ecological Data (2007) by Zuur, Ieno and Smith, the authors now provide an expanded introduction to using regression and its extensions in analysing ecological data. As with the earlier book, real data sets from postgraduate ecological studies or research projects are used throughout. The first part of the book is a largely non-mathematical introduction to linear mixed effects modelling, GLM and GAM, zero inflated models, GEE, GLMM and GAMM. The second part provides ten case studies that range from koalas to deep sea research. These chapters provide an invaluable insight into analysing complex ecological datasets, including comparisons of different approaches to the same problem. By matching ecological questions and data structure to a case study, these chapters provide an excellent starting point to analysing your own data. Data and R code from all chapters are available from www.highstat.com.
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$74.88 |
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(5.0 / 5.0) The new Bare Essentials reflects recent advances in statistics, as well as time-honored methods. For example hierarchical linear modeling, which first appeared in psychology journals and only now is seen in medical literature, is described. Also new is a chapter on testing for equivalence and non-inferiority, and another on getting started with the computer statistics program, SPSS. Free of calculations and jargon, Bare Essentials speak so plainly that you won t need a technical dictionary. No math, all concepts. The objective is to enable you to determine if the research results are applicable to your own patients. Throughout the guide, you ll find highlights of areas in which researchers misuse or misinterpret statistical tests. We have labeled these C.R.A.P. Detectors (Convoluted Reasoning and Anti-intellectual Pomposity), which help you to identify faulty methodology and misuse of statistics. The second version of the book will include the SPSS (Statistical Package for Social Science) software. The purchaser will be prompted to activate the program and will have six months access to the program as part of their purchase price. This book translates biostatistics in the health sciences literature with clarity and irreverence. Students and practitioners alike applaud Biostatistics: as the practical guide that exposes them to every statistical test they may encounter, with careful conceptual explanations and a minimum of algebra.
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$68.35 |
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 (4.5 / 5.0) Standard medicinal chemistry courses and texts are organized by classes of drugs with an emphasis on descriptions of their biological and pharmacological effects. This book represents a new approach based on physical organic chemical principles and reaction mechanisms that rationalize drug action and allow the reader to extrapolate to many related classes of drug molecules. The Second Edition reflects the significant changes in the drug industry over the past decade, and now includes color illustrations, chapter problems, and other elements that make concepts easier to understand.
* Organic chemist's perspective of how drugs are designed and function * Teaches organic chemists and biochemists the fundamentals of drug design and drug action using drugs as examples * Extensive use of references to the primary and secondary literature for more in depth reading about all concepts * Extensive use of structures, schemes, and figures to illustrate points * Explanations of dual-acting drugs<br>* Problem sets and answers for each topic<br>* Casual writing style * Author has published over 200 articles in the areas of synthesis, bioorganic chemistry, and medicinal chemistry, has been awarded 21 patents, and has invented a drug that is under consideration for commercialization.<br>
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$64.64 |
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 (3.5 / 5.0) INTRODUCTORY APPLIED BIOSTATISTICS (WITH CD-ROM) explores statistical applications in the medical and public health fields. Examples drawn directly from the authors' clinical experiences with applied biostatistics make this text both practical and applicable. You'll master application techniques by hand before moving on to computer applications, with SAS programming code and output for each technique covered in every chapter. For each topic, the book addresses methodology, including assumptions, statistical formulas, and appropriate interpretation of results. This book is a must-have for every student preparing for a statistical career in a healthcare field!
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(4.0 / 5.0) Applied statisticians in many fields frequently analyze time-to-event data. While the statistical tools presented in this book are applicable to data from medicine, biology, public health, epidemiology, engineering, economics and demography, the focus here is on applications of the techniques to biology and medicine.
The analysis of survival experiments is complicated by issues of censoring and truncation. The use of counting process methodology has allowed for substantial advances in the statistical theory to account for censoring and truncation in survival experiments. This book makes these complex techniques accessible to applied researchers without the advanced mathematical background. The authors present the essentials of these techniques, as well as classical techniques not based on counting processes, and apply them to data. The second edition contains some new material as well as solutions to the odd-numbered revised exercises. New material consists of a discussion of summary statistics for competing risks probabilities in Chapter 2 and the estimation process for these probabilities in Chapter 4. A new section on tests of the equality of survival curves at a fixed point in time is added in Chapter 7. In Chapter 8 an expanded discussion is presented on how to code covariates and a new section on discretizing a continuous covariate is added. A new section on Lin and Ying's additive hazards regression model is presented in Chapter 10. We now proceed to a general discussion of the usefulness of this book incorporating the new material with that of the first edition.
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$89.56 |