Biostatistics

Author: Gerald van Belle
Publisher: John Wiley & Sons
ISBN: 9780471602354
Release Date: 2004-10-20
Genre: Medical

A respected introduction to biostatistics, thoroughly updated and revised The first edition of Biostatistics: A Methodology for the Health Sciences has served professionals and students alike as a leading resource for learning how to apply statistical methods to the biomedical sciences. This substantially revised Second Edition brings the book into the twenty-first century for today’s aspiring and practicing medical scientist. This versatile reference provides a wide-ranging look at basic and advanced biostatistical concepts and methods in a format calibrated to individual interests and levels of proficiency. Written with an eye toward the use of computer applications, the book examines the design of medical studies, descriptive statistics, and introductory ideas of probability theory and statistical inference; explores more advanced statistical methods; and illustrates important current uses of biostatistics. New to this edition are discussions of Longitudinal data analysis Randomized clinical trials Bayesian statistics GEE The bootstrap method Enhanced by a companion Web site providing data sets, selected problems and solutions, and examples from such current topics as HIV/AIDS, this is a thoroughly current, comprehensive introduction to the field.

Biostatistics

Author: Wayne W. Daniel
Publisher:
ISBN: 1118362209
Release Date: 2013-02-12
Genre: Biometry

Allied health professionals rely on "Biostatistics" for its high standards of statistical accuracy. It helps them develop a set of statistical tools that are relevant to their field. Now in its ninth edition, the book integrates new applications from several biological science fields throughout the pages. Each chapter now opens with bulleted objectives that highlight the main ideas. Summary boxes of formulae and statistical rules are presented for easy reference and review. Support is also provided for multiple programs such as SPSS, SAS, and STATA, in addition to Minitab. This includes screen captures and technology boxes with step-by-step help. Health professionals will then gain the ability to use technology to analyze data.

Quantitative Health Research Issues And Methods

Author: Curtis, Elizabeth
Publisher: McGraw-Hill Education (UK)
ISBN: 9780335245734
Release Date: 2013-09-01
Genre: Medical

This book is a detailed and comprehensive guide to undertaking quantitative health research at postgraduate and professional level. It takes you through the entire research process, from designing the project to presenting the results and will help you execute high quality quantitative research that improves and informs clinical practice. Written by a team of research experts, this book covers common practical problems such as applying theory to research and analysing data. It also includes chapters on communicating with ethics committees, recruiting samples from vulnerable populations, audit as a research approach, quasi-experimental designs and using cognitive interviewing, making it a new and innovative offering for health researchers. Other topics covered in this book include: Ethical considerations of research Designing and planning quantitative research projects Data measurement and collection Analyzing and presenting resultsWith a strong practical focus, each chapter features examples of real-life research to illustrate the quantitative research process, as well as tips and insights into research planning and execution. This book is an essential guide for all health care professionals undertaking a postgraduate degree, as well as health researchers and practitioners who need to carry out research as part of their professional role. Contributors: Ruth Belling, Michelle Butler, Catherine Comiskey, Siobhan Corrigan, Gloria Crispino, Orla Dempsey, Suzanne Guerin, Maree Johnson, Carmel Kelly, Elaine Lehane, Maria Lohan, Susan McLaren, Deirdre Mongan, Corina Naughton, Rhona O'Connell, Elaine Pierce, Gary Rolfe, Eileen Savage, Anne Scott, Emma Stokes, Roger Watson ""Learning quantitative research is taken much for granted. This is probably why there are fewer generic books on quantitative than qualitative research. This book is long overdue. Clearly- written and well structured, it takes us through the whole journey of a research project from developing 'research questions' to 'presenting the findings', passing through philosophical underpinnings, recruitment of participants and ethical considerations. Written by an array of well-known researchers and teachers, this book will certainly appeal to new as well as seasoned researchers. Those who will use it, will not be disappointed." Kader Parahoo, University of Ulster "The title of this text is somewhat misleading. It is not only an excellent and thorough guide to qualitative health research methods; it is also an excellent introduction to all forms of qualitative research. It takes the reader gently through theoretical and ethical concerns to the practicalities and benefits of utilising qualitative approaches. As such it is that rare thing; a text that can be used by novice researchers to learn their craft, and a key reference resource for experienced research practitioners." Dr. John Cullen, School of Business, National University of Ireland, Maynooth, UK "This is a first-rate collection of essays that promotes an informed understanding of both underpinning principles and widely used techniques. A great deal of effort has clearly been invested in co-ordinating the contributions, and this has delivered clarity, complementarity and effective coverage. This is a welcome, carefully-crafted and very accessible resource that will appeal to students and researchers in healthcare and beyond." Martin Beirne, Professor of Management and Organizational Behaviour, University of Glasgow, Adam Smith Business School, UK

Biostatistics

Author: Wayne W. Daniel
Publisher: John Wiley & Sons
ISBN: UOM:39015031826756
Release Date: 1995
Genre: Medical

Like its predecessors, this edition stresses intuitive understanding of principles rather than learning by mathematical proof. Provides broad coverage of statistical procedures used in all the health science disciplines. This version contains a greater emphasis on computer applications (MINITAB command instruction is demonstrated) for most of the statistical techniques. New to this edition: computer printouts demonstrating the SAS? software package, determination of sample size to control Type I and Type II errors, the Fisher Exact Test, the Repeated Measures Design, the Mantel-Haenszel Statistic. More than 250 of the examples and exercises are based on actual data obtained directly from researchers in the health field and from reports of research findings published in health sciences literature.

Introductory Biostatistics for the Health Sciences

Author: Michael R. Chernick
Publisher: John Wiley & Sons
ISBN: 9780471458654
Release Date: 2003-06-24
Genre: Mathematics

Accessible to medicine- and/or public policy-related audiences, as well as most statisticians. Emphasis on outliers is discussed by way of detection and treatment. Resampling statistics software is incorporated throughout. Motivating applications are presented in light of honest theory. Plentiful exercises are sprinkled throughout.

Statistical Rules of Thumb

Author: Gerald van Belle
Publisher: John Wiley & Sons
ISBN: 9781118210369
Release Date: 2011-09-20
Genre: Mathematics

Praise for the First Edition: "For a beginner [this book] is a treasure trove; for an experienced person it can provide new ideas on how better to pursue the subject of applied statistics." —Journal of Quality Technology Sensibly organized for quick reference, Statistical Rules of Thumb, Second Edition compiles simple rules that are widely applicable, robust, and elegant, and each captures key statistical concepts. This unique guide to the use of statistics for designing, conducting, and analyzing research studies illustrates real-world statistical applications through examples from fields such as public health and environmental studies. Along with an insightful discussion of the reasoning behind every technique, this easy-to-use handbook also conveys the various possibilities statisticians must think of when designing and conducting a study or analyzing its data. Each chapter presents clearly defined rules related to inference, covariation, experimental design, consultation, and data representation, and each rule is organized and discussed under five succinct headings: introduction; statement and illustration of the rule; the derivation of the rule; a concluding discussion; and exploration of the concept's extensions. The author also introduces new rules of thumb for topics such as sample size for ratio analysis, absolute and relative risk, ANCOVA cautions, and dichotomization of continuous variables. Additional features of the Second Edition include: Additional rules on Bayesian topics New chapters on observational studies and Evidence-Based Medicine (EBM) Additional emphasis on variation and causation Updated material with new references, examples, and sources A related Web site provides a rich learning environment and contains additional rules, presentations by the author, and a message board where readers can share their own strategies and discoveries. Statistical Rules of Thumb, Second Edition is an ideal supplementary book for courses in experimental design and survey research methods at the upper-undergraduate and graduate levels. It also serves as an indispensable reference for statisticians, researchers, consultants, and scientists who would like to develop an understanding of the statistical foundations of their research efforts. A related website www.vanbelle.org provides additional rules, author presentations and more.

Biostatistics a foundation for analysis in the health sciences

Author: Wayne W. Daniel
Publisher: John Wiley & Sons
ISBN: UOM:39015011647099
Release Date: 1987-07-01
Genre: Mathematics

This classic text takes an applied and computer-oriented approach to its topical coverage. The book is intended for one or two semester courses in biostatistics at the undergraduate or graduate level offered by departments of biostatistics, statistics, mathematics, nursing and other allied health disciplines, and is also used in some departments of forestry and animal husbandry. Nearly all the examples and exercises make use of real data from actual research projects and reports from health sciences literature. Where appropriate, Minitab, SPSS and SAS commands and printouts are included as part of the examples and solutions to exercises.

Applied Biostatistics for the Health Sciences

Author: Richard J. Rossi
Publisher: John Wiley & Sons
ISBN: 9780470147641
Release Date: 2010
Genre: Mathematics

Biostatistics is quickly becoming one of the most important areas of statistics due to the tremendous increase in health care needs. This book successfully introduces the terminology, concepts, and correct uses and interpretation of biostatistics. It is ideal for practitioners as well as students going into health care fields. Pedagogical features include formulas highlighted in text boxes and chapter summaries that highlight key vocabulary and concepts for the chapter. An accompanying Web site provides both MINITAB® and Microsoft® Office Excel® data files data for the case studies and exercises that are contained in the text.

Introduction to Statistical Time Series

Author: Wayne A. Fuller
Publisher: John Wiley & Sons
ISBN: 9780470317754
Release Date: 2009-09-25
Genre: Mathematics

The subject of time series is of considerable interest, especially among researchers in econometrics, engineering, and the natural sciences. As part of the prestigious Wiley Series in Probability and Statistics, this book provides a lucid introduction to the field and, in this new Second Edition, covers the important advances of recent years, including nonstationary models, nonlinear estimation, multivariate models, state space representations, and empirical model identification. New sections have also been added on the Wold decomposition, partial autocorrelation, long memory processes, and the Kalman filter. Major topics include: * Moving average and autoregressive processes * Introduction to Fourier analysis * Spectral theory and filtering * Large sample theory * Estimation of the mean and autocorrelations * Estimation of the spectrum * Parameter estimation * Regression, trend, and seasonality * Unit root and explosive time series To accommodate a wide variety of readers, review material, especially on elementary results in Fourier analysis, large sample statistics, and difference equations, has been included.

Complex Surveys

Author: Thomas Lumley
Publisher: John Wiley & Sons
ISBN: 9781118210932
Release Date: 2011-09-20
Genre: Mathematics

A complete guide to carrying out complex survey analysis using R As survey analysis continues to serve as a core component of sociological research, researchers are increasingly relying upon data gathered from complex surveys to carry out traditional analyses. Complex Surveys is a practical guide to the analysis of this kind of data using R, the freely available and downloadable statistical programming language. As creator of the specific survey package for R, the author provides the ultimate presentation of how to successfully use the software for analyzing data from complex surveys while also utilizing the most current data from health and social sciences studies to demonstrate the application of survey research methods in these fields. The book begins with coverage of basic tools and topics within survey analysis such as simple and stratified sampling, cluster sampling, linear regression, and categorical data regression. Subsequent chapters delve into more technical aspects of complex survey analysis, including post-stratification, two-phase sampling, missing data, and causal inference. Throughout the book, an emphasis is placed on graphics, regression modeling, and two-phase designs. In addition, the author supplies a unique discussion of epidemiological two-phase designs as well as probability-weighting for causal inference. All of the book's examples and figures are generated using R, and a related Web site provides the R code that allows readers to reproduce the presented content. Each chapter concludes with exercises that vary in level of complexity, and detailed appendices outline additional mathematical and computational descriptions to assist readers with comparing results from various software systems. Complex Surveys is an excellent book for courses on sampling and complex surveys at the upper-undergraduate and graduate levels. It is also a practical reference guide for applied statisticians and practitioners in the social and health sciences who use statistics in their everyday work.

Nonparametric Statistics with Applications to Science and Engineering

Author: Paul H. Kvam
Publisher: John Wiley & Sons
ISBN: 0470168692
Release Date: 2007-08-24
Genre: Mathematics

A thorough and definitive book that fully addresses traditional and modern-day topics of nonparametric statistics This book presents a practical approach to nonparametric statistical analysis and provides comprehensive coverage of both established and newly developed methods. With the use of MATLAB, the authors present information on theorems and rank tests in an applied fashion, with an emphasis on modern methods in regression and curve fitting, bootstrap confidence intervals, splines, wavelets, empirical likelihood, and goodness-of-fit testing. Nonparametric Statistics with Applications to Science and Engineering begins with succinct coverage of basic results for order statistics, methods of categorical data analysis, nonparametric regression, and curve fitting methods. The authors then focus on nonparametric procedures that are becoming more relevant to engineering researchers and practitioners. The important fundamental materials needed to effectively learn and apply the discussed methods are also provided throughout the book. Complete with exercise sets, chapter reviews, and a related Web site that features downloadable MATLAB applications, this book is an essential textbook for graduate courses in engineering and the physical sciences and also serves as a valuable reference for researchers who seek a more comprehensive understanding of modern nonparametric statistical methods.

Linear Models

Author: Brenton R. Clarke
Publisher: John Wiley & Sons
ISBN: 0470377976
Release Date: 2008-09-19
Genre: Mathematics

An insightful approach to the analysis of variance in the study of linear models Linear Models explores the theory of linear models and the dynamic relationships that these models have with Analysis of Variance (ANOVA), experimental design, and random and mixed-model effects. This one-of-a-kind book emphasizes an approach that clearly explains the distribution theory of linear models and experimental design starting from basic mathematical concepts in linear algebra. The author begins with a presentation of the classic fixed-effects linear model and goes on to illustrate eight common linear models, along with the value of their use in statistics. From this foundation, subsequent chapters introduce concepts pertaining to the linear model, starting with vector space theory and the theory of least-squares estimation. An outline of the Helmert matrix is also presented, along with a thorough explanation of how the ANOVA is created in both typical two-way and higher layout designs, ultimately revealing the distribution theory. Other important topics covered include: Vector space theory The theory of least squares estimation Gauss-Markov theorem Kronecker products Diagnostic and robust methods for linear models Likelihood approaches to estimation A discussion of Bayesian theory is also included for purposes of comparison and contrast, and numerous illustrative exercises assist the reader with uncovering the nature of the models, using both classic and new data sets. Requiring only a working knowledge of basic probability and statistical inference, Linear Models is a valuable book for courses on linear models at the upper-undergraduate and graduate levels. It is also an excellent reference for practitioners who use linear models to conduct research in the fields of econometrics, psychology, sociology, biology, and agriculture.

Loss Models

Author: Stuart A. Klugman
Publisher: John Wiley & Sons
ISBN: 9780470391334
Release Date: 2012-01-25
Genre: Business & Economics