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 andrevised The first edition of Biostatistics: A Methodology for the HealthSciences has served professionals and students alike as a leadingresource for learning how to apply statistical methods to thebiomedical sciences. This substantially revised Second Editionbrings the book into the twenty-first century for today’saspiring and practicing medical scientist. This versatile reference provides a wide-ranging look at basicand advanced biostatistical concepts and methods in a formatcalibrated to individual interests and levels of proficiency.Written with an eye toward the use of computer applications, thebook examines the design of medical studies, descriptivestatistics, and introductory ideas of probability theory andstatistical 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, selectedproblems and solutions, and examples from such current topics asHIV/AIDS, this is a thoroughly current, comprehensive introductionto the field.

Biostatistics

Author: Lloyd D. Fisher
Publisher: Wiley-Interscience
ISBN: UOM:49015001487512
Release Date: 1993-04-19
Genre: Medical

This versatile textbook allows students and teachers to fashion an instructional package that meets diverse learning needs. It provides a wide-ranging look at basic and advanced biostatistical concepts and methods in a format calibrated to individual interests and levels of proficiency. Each topic presentation features introductory comments, real-life examples, a step-by-step outline of the statistical procedure under discussion, an explanation of applications, and numerous practice exercises. Advanced material-which may be included in coursework at the discretion of the instructor-has been noted throughout the text with asterisks, and notes at the end of each chapter extend and enrich the primary material. Early chapters discuss the design of medical studies, descriptive statistics, and introductory ideas of probability theory and statistical inference. Later chapters explore more advanced statistical methods and illustrate important current uses of biostatistics. Statistical methods discussed include * Robustness and nonparametric statistics * Analysis of variance and covariance * Multiple comparisons * Discrimination and classification * Principal component analysis and factor analysis * Survival analysis (including life tables, product-limit estimates, and Cox proportional hazards regression) * Sample sizes for observational studies With more than 390 practice exercises, clear illustrations and graphics, and more than 130 examples, Biostatistics provides a complete detailed seminar, which encourages steady, incremental growth while acting as a catalyst for creative analysis.

Biostatistics

Author: Wayne W. Daniel
Publisher:
ISBN: 0470413336
Release Date: 2010
Genre: Biometry

This ninth edition of Biostatistics: A Foundation for Analysis in the Health Sciences should appeal to the same audience for which the first eight editions were written: advanced undergraduate students, beginning graduate students, and health professionals in need of a reference book on statistical methodology.

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

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, aswell as most statisticians. Emphasis on outliers is discussed by way of detection andtreatment. Resampling statistics software is incorporated throughout. Motivating applications are presented in light of honesttheory. Plentiful exercises are sprinkled throughout.

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.

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 anexperienced person it can provide new ideas on how better to pursuethe subject of applied statistics." —Journal of Quality Technology Sensibly organized for quick reference, Statistical Rules ofThumb, Second Edition compiles simple rules that arewidely applicable, robust, and elegant, and each captures keystatistical concepts. This unique guide to the use of statisticsfor designing, conducting, and analyzing research studiesillustrates real-world statistical applications through examplesfrom fields such as public health and environmental studies. Alongwith an insightful discussion of the reasoning behind everytechnique, this easy-to-use handbook also conveys the variouspossibilities statisticians must think of when designing andconducting a study or analyzing its data. Each chapter presents clearly defined rules related toinference, covariation, experimental design, consultation, and datarepresentation, and each rule is organized and discussed under fivesuccinct headings: introduction; statement and illustration of therule; the derivation of the rule; a concluding discussion; andexploration of the concept's extensions. The author also introducesnew rules of thumb for topics such as sample size for ratioanalysis, absolute and relative risk, ANCOVA cautions, anddichotomization of continuous variables. Additional features of theSecond Edition include: Additional rules on Bayesian topics New chapters on observational studies and Evidence-BasedMedicine (EBM) Additional emphasis on variation and causation Updated material with new references, examples, and sources A related Web site provides a rich learning environment andcontains additional rules, presentations by the author, and amessage board where readers can share their own strategies anddiscoveries. Statistical Rules of Thumb, SecondEdition is an ideal supplementary book for courses inexperimental design and survey research methods at theupper-undergraduate and graduate levels. It also serves as anindispensable reference for statisticians, researchers,consultants, and scientists who would like to develop anunderstanding of the statistical foundations of their researchefforts. A related website www.vanbelle.org provides additionalrules, author presentations and more.

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.

Medizinische Statistik

Author: Hans J. Trampisch
Publisher: Springer-Verlag
ISBN: 9783642569968
Release Date: 2013-03-11
Genre: Mathematics

"Statistiken sind merkwürdige Dinge ...", dies wird so mancher Mediziner denken, wenn er sich mit der Biometrie befaßt. Sei es im Rahmen seiner Ausbildung oder im Zuge wissenschaftlicher oder klinischer Studien, Kenntnisse der Statistik und Mathematik sind unentbehrlich für die tägliche Arbeit des Mediziners. Ziel dieses Lehrbuches ist es, den Mediziner systematisch an biometrische Terminologie und Arbeitsmethoden heranzuführen, um ihn schließlich mit den Grundlagen der Wahrscheinlichkeitsrechung vertraut zu machen. Nach der Lektüre dieses Buches hält der Leser ein Werkzeug in den Händen, das ihm bei der Lösung medizinscher Fragestellungen hilft ebenso wie bei der Beschreibung von Ergebnissen wissenschaftlicher Studien und natürlich bei der Doktorarbeit!

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 usingR As survey analysis continues to serve as a core component ofsociological research, researchers are increasingly relying upondata gathered from complex surveys to carry out traditionalanalyses. Complex Surveys is a practical guide to theanalysis of this kind of data using R, the freely available anddownloadable statistical programming language. As creator of thespecific survey package for R, the author provides the ultimatepresentation of how to successfully use the software for analyzingdata from complex surveys while also utilizing the most currentdata from health and social sciences studies to demonstrate theapplication of survey research methods in these fields. The book begins with coverage of basic tools and topics withinsurvey analysis such as simple and stratified sampling, clustersampling, linear regression, and categorical data regression.Subsequent chapters delve into more technical aspects of complexsurvey analysis, including post-stratification, two-phase sampling,missing data, and causal inference. Throughout the book, anemphasis is placed on graphics, regression modeling, and two-phasedesigns. In addition, the author supplies a unique discussion ofepidemiological two-phase designs as well as probability-weightingfor causal inference. All of the book's examples and figures aregenerated using R, and a related Web site provides the R code thatallows readers to reproduce the presented content. Each chapterconcludes with exercises that vary in level of complexity, anddetailed appendices outline additional mathematical andcomputational descriptions to assist readers with comparing resultsfrom various software systems. Complex Surveys is an excellent book for courses onsampling and complex surveys at the upper-undergraduate andgraduate levels. It is also a practical reference guide for appliedstatisticians and practitioners in the social and health scienceswho use statistics in their everyday work.

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.

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