Author: Richard J. Rossi
Publisher: John Wiley & Sons
Release Date: 2010
Book Size: 34.91 MB
Book Format: PDF, ePub
Category : Mathematics
Languages : en
Pages : 648
View: 2413

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Applied Biostatistics For The Health Sciences

by Richard J. Rossi, Applied Biostatistics For The Health Sciences Books available in Docs, PDF, EPUB, Mobi, Textbook, Kindle Format. Download Applied Biostatistics For The Health Sciences book, 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.

Author: Gerald van Belle
Publisher: John Wiley & Sons
Release Date: 2004-10-20
Book Size: 74.76 MB
Book Format: PDF, ePub, Mobi
Category : Medical
Languages : en
Pages : 896
View: 2881

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Biostatistics

by Gerald van Belle, Biostatistics Books available in Docs, PDF, EPUB, Mobi, Textbook, Kindle Format. Download Biostatistics book, 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.

Author: Lloyd D. Fisher
Publisher: Wiley-Interscience
Release Date: 1993-04-19
Book Size: 62.53 MB
Book Format: PDF, ePub, Mobi
Category : Mathematics
Languages : en
Pages : 991
View: 7141

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Biostatistics

by Lloyd D. Fisher, Biostatistics Books available in Docs, PDF, EPUB, Mobi, Textbook, Kindle Format. Download Biostatistics book, 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.

Author: Wayne W. Daniel
Publisher: John Wiley & Sons Incorporated
Release Date: 2009
Book Size: 27.52 MB
Book Format: PDF
Category : Mathematics
Languages : en
Pages : 783
View: 3342

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Biostatistics

by Wayne W. Daniel, Biostatistics Books available in Docs, PDF, EPUB, Mobi, Textbook, Kindle Format. Download Biostatistics book, Stressing intuitive understanding of principles rather than learning by mathematical proof, this ninth edition provides broad coverage of statistical procedures used in all the health science disciplines. Nearly all the examples and exercises make use of real data from actual research projects.

Author: Michael R. Chernick
Publisher: John Wiley & Sons
Release Date: 2003-06-24
Book Size: 10.16 MB
Book Format: PDF, ePub, Mobi
Category : Mathematics
Languages : en
Pages : 424
View: 3607

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Introductory Biostatistics For The Health Sciences

by Michael R. Chernick, Introductory Biostatistics For The Health Sciences Books available in Docs, PDF, EPUB, Mobi, Textbook, Kindle Format. Download Introductory Biostatistics For The Health Sciences book, 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.

Author: Nazim Husain
Publisher: NAZIM HUSAIN
Release Date: 2019-08-27
Book Size: 54.28 MB
Book Format: PDF, ePub, Docs
Category : Medical
Languages : en
Pages : 182
View: 5725

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Biostatistics Made Easy For Pg Scholars Of Health Sciences

by Nazim Husain, Biostatistics Made Easy For Pg Scholars Of Health Sciences Books available in Docs, PDF, EPUB, Mobi, Textbook, Kindle Format. Download Biostatistics Made Easy For Pg Scholars Of Health Sciences book, Biostatistics to a researcher is like compass to a navigator, providing directions all through the journey. It is needed as a science by a researcher for the evaluation of the work done- be it thesis or research paper. The market is full of complex books on biostatistics which are difficult to understand by a medical student due to lack of the basic understanding of the subject. So, there is an ever-rising need of simpler books concerning the subject that would make basic operations of biostatistics easily understandable. We have put in efforts in this book to make the subject simple, palatable and easy to understand. It deals with the study of statistical operations applied in the field of clinical research. The main highlights of the book are illustrations in the form of tables and figures, wherever necessary and solved examples given after each topic to make them clearer to the reader. In future, we will also include the study material that will explain to use of MS Excel, Graph Pad Prism and SPSS to solve the statistics problems in various fields of study.

Author: Geoffrey McLachlan
Publisher: John Wiley & Sons
Release Date: 2007-11-09
Book Size: 59.50 MB
Book Format: PDF, Docs
Category : Mathematics
Languages : en
Pages : 384
View: 1783

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The Em Algorithm And Extensions

by Geoffrey McLachlan, The Em Algorithm And Extensions Books available in Docs, PDF, EPUB, Mobi, Textbook, Kindle Format. Download The Em Algorithm And Extensions book, The only single-source——now completely updated and revised——to offer a unified treatment of the theory, methodology, and applications of the EM algorithm Complete with updates that capture developments from the past decade, The EM Algorithm and Extensions, Second Edition successfully provides a basic understanding of the EM algorithm by describing its inception, implementation, and applicability in numerous statistical contexts. In conjunction with the fundamentals of the topic, the authors discuss convergence issues and computation of standard errors, and, in addition, unveil many parallels and connections between the EM algorithm and Markov chain Monte Carlo algorithms. Thorough discussions on the complexities and drawbacks that arise from the basic EM algorithm, such as slow convergence and lack of an in-built procedure to compute the covariance matrix of parameter estimates, are also presented. While the general philosophy of the First Edition has been maintained, this timely new edition has been updated, revised, and expanded to include: New chapters on Monte Carlo versions of the EM algorithm and generalizations of the EM algorithm New results on convergence, including convergence of the EM algorithm in constrained parameter spaces Expanded discussion of standard error computation methods, such as methods for categorical data and methods based on numerical differentiation Coverage of the interval EM, which locates all stationary points in a designated region of the parameter space Exploration of the EM algorithm's relationship with the Gibbs sampler and other Markov chain Monte Carlo methods Plentiful pedagogical elements—chapter introductions, lists of examples, author and subject indices, computer-drawn graphics, and a related Web site The EM Algorithm and Extensions, Second Edition serves as an excellent text for graduate-level statistics students and is also a comprehensive resource for theoreticians, practitioners, and researchers in the social and physical sciences who would like to extend their knowledge of the EM algorithm.

Author: Deborah J. Street
Publisher: John Wiley & Sons
Release Date: 2007-07-20
Book Size: 38.57 MB
Book Format: PDF, Kindle
Category : Mathematics
Languages : en
Pages : 320
View: 6980

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The Construction Of Optimal Stated Choice Experiments

by Deborah J. Street, The Construction Of Optimal Stated Choice Experiments Books available in Docs, PDF, EPUB, Mobi, Textbook, Kindle Format. Download The Construction Of Optimal Stated Choice Experiments book, The most comprehensive and applied discussion of stated choice experiment constructions available The Construction of Optimal Stated Choice Experiments provides an accessible introduction to the construction methods needed to create the best possible designs for use in modeling decision-making. Many aspects of the design of a generic stated choice experiment are independent of its area of application, and until now there has been no single book describing these constructions. This book begins with a brief description of the various areas where stated choice experiments are applicable, including marketing and health economics, transportation, environmental resource economics, and public welfare analysis. The authors focus on recent research results on the construction of optimal and near-optimal choice experiments and conclude with guidelines and insight on how to properly implement these results. Features of the book include: Construction of generic stated choice experiments for the estimation of main effects only, as well as experiments for the estimation of main effects plus two-factor interactions Constructions for choice sets of any size and for attributes with any number of levels A discussion of designs that contain a none option or a common base option Practical techniques for the implementation of the constructions Class-tested material that presents theoretical discussion of optimal design Complete and extensive references to the mathematical and statistical literature for the constructions Exercise sets in most chapters, which reinforce the understanding of the presented material The Construction of Optimal Stated Choice Experiments serves as an invaluable reference guide for applied statisticians and practitioners in the areas of marketing, health economics, transport, and environmental evaluation. It is also ideal as a supplemental text for courses in the design of experiments, decision support systems, and choice models. A companion web site is available for readers to access web-based software that can be used to implement the constructions described in the book.

Author: Jean-Louis Auget
Publisher: Springer Science & Business Media
Release Date: 2007-08-08
Book Size: 35.10 MB
Book Format: PDF, ePub, Mobi
Category : Mathematics
Languages : en
Pages : 540
View: 6427

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Advances In Statistical Methods For The Health Sciences

by Jean-Louis Auget, Advances In Statistical Methods For The Health Sciences Books available in Docs, PDF, EPUB, Mobi, Textbook, Kindle Format. Download Advances In Statistical Methods For The Health Sciences book, Statistical methods have become an increasingly important and integral part of research in the health sciences. Many sophisticated methodologies have been developed for specific applications and problems. This self-contained comprehensive volume covers a wide range of topics pertaining to new statistical methods in the health sciences, including epidemiology, pharmacovigilance, quality of life, survival analysis, and genomics. The book will serve the health science community as well as practitioners, researchers, and graduate students in applied probability, statistics, and biostatistics.

Author: Brenton R. Clarke
Publisher: John Wiley & Sons
Release Date: 2008-09-19
Book Size: 79.82 MB
Book Format: PDF, Mobi
Category : Mathematics
Languages : en
Pages : 288
View: 4446

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Linear Models

by Brenton R. Clarke, Linear Models Books available in Docs, PDF, EPUB, Mobi, Textbook, Kindle Format. Download Linear Models book, 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.

Author: Stuart A. Klugman
Publisher: John Wiley & Sons
Release Date: 2012-01-25
Book Size: 32.28 MB
Book Format: PDF, Mobi
Category : Business & Economics
Languages : en
Pages : 784
View: 7632

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Loss Models

by Stuart A. Klugman, Loss Models Books available in Docs, PDF, EPUB, Mobi, Textbook, Kindle Format. Download Loss Models book,

Author: Harry L. Hurd
Publisher: John Wiley & Sons
Release Date: 2007-11-09
Book Size: 21.26 MB
Book Format: PDF, ePub, Docs
Category : Mathematics
Languages : en
Pages : 384
View: 4659

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Periodically Correlated Random Sequences

by Harry L. Hurd, Periodically Correlated Random Sequences Books available in Docs, PDF, EPUB, Mobi, Textbook, Kindle Format. Download Periodically Correlated Random Sequences book, Uniquely combining theory, application, and computing, this book explores the spectral approach to time series analysis The use of periodically correlated (or cyclostationary) processes has become increasingly popular in a range of research areas such as meteorology, climate, communications, economics, and machine diagnostics. Periodically Correlated Random Sequences presents the main ideas of these processes through the use of basic definitions along with motivating, insightful, and illustrative examples. Extensive coverage of key concepts is provided, including second-order theory, Hilbert spaces, Fourier theory, and the spectral theory of harmonizable sequences. The authors also provide a paradigm for nonparametric time series analysis including tests for the presence of PC structures. Features of the book include: An emphasis on the link between the spectral theory of unitary operators and the correlation structure of PC sequences A discussion of the issues relating to nonparametric time series analysis for PC sequences, including estimation of the mean, correlation, and spectrum A balanced blend of historical background with modern application-specific references to periodically correlated processes An accompanying Web site that features additional exercises as well as data sets and programs written in MATLAB® for performing time series analysis on data that may have a PC structure Periodically Correlated Random Sequences is an ideal text on time series analysis for graduate-level statistics and engineering students who have previous experience in second-order stochastic processes (Hilbert space), vector spaces, random processes, and probability. This book also serves as a valuable reference for research statisticians and practitioners in areas of probability and statistics such as time series analysis, stochastic processes, and prediction theory.