Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119090091
Total Pages : 411 pages
Book Rating : 4.1/5 (19 download)

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Book Synopsis Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel by : Robert P. Hirsch

Download or read book Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel written by Robert P. Hirsch and published by John Wiley & Sons. This book was released on 2016-02-05 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical and methodological approach to the statistical logic of biostatistics in the field of health research Focusing on a basic understanding of the methods and analyses in health research, Introduction to Biostatistical Applications in Health Research with Microsoft® Office Excel® provides statistical concepts for interpreting results using Excel. The book emphasizes the application of methods and presents the most common methodological procedures in health research, which includes multiple regression, ANOVA, ANCOVA, logistic regression, Cox regression, stratified analysis, life table analysis, and nonparametric parallels. The book is constructed around a flowchart that outlines the appropriate circumstances for selecting a method to analyze a specific set of data. Beginning with an introduction to the foundational methods of statistical logic before moving on to more complex methods, Introduction to Biostatistical Applications in Health Research with Microsoft® Office Excel® also includes: Detailed discussions of how knowledge and skills in health research have been integrated with biostatistical methods Numerous examples with clear explanations that use mostly real-world health research data in order to provide a better understanding of the practical applications Implements Excel graphic representations throughout to help readers evaluate and analyze individual results An appendix with basic information on how to use Excel A companion website with additional Excel files, data sets, and homework problems as well as an Instructor’s Solutions Manual Introduction to Biostatistical Applications in Health Research with Microsoft® Office Excel® is an excellent textbook for upper-undergraduate and graduate-level courses in biostatistics and public health. In addition, the book is an appropriate reference for both health researchers and professionals.

Biostatistical Applications in Health Research

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Publisher :
ISBN 13 : 9780964183216
Total Pages : 421 pages
Book Rating : 4.1/5 (832 download)

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Book Synopsis Biostatistical Applications in Health Research by : Robert P. Hirsch

Download or read book Biostatistical Applications in Health Research written by Robert P. Hirsch and published by . This book was released on 2008 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel

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Author :
Publisher : Wiley
ISBN 13 : 9781119089841
Total Pages : 416 pages
Book Rating : 4.0/5 (898 download)

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Book Synopsis Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel by : Robert P. Hirsch

Download or read book Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel written by Robert P. Hirsch and published by Wiley. This book was released on 2017-07-19 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel and R

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119722640
Total Pages : 640 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel and R by : Robert P. Hirsch

Download or read book Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel and R written by Robert P. Hirsch and published by John Wiley & Sons. This book was released on 2021-01-28 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of Introduction to Biostatistical Applications in Health Research delivers a thorough examination of the basic techniques and most commonly used statistical methods in health research. Retaining much of what was popular with the well-received first edition, the thoroughly revised second edition includes a new chapter on testing assumptions and how to evaluate whether those assumptions are satisfied and what to do if they are not. The newest edition contains brand-new code examples for using the popular computer language R to perform the statistical analyses described in the chapters within. You'll learn how to use Excel to generate datasets for R, which can then be used to conduct statistical calculations on your data. The book also includes a companion website with a new version of BAHR add-in programs for Excel. This new version contains new programs for nonparametric analyses, Student-Newman-Keuls tests, and stratified analyses. Readers will also benefit from coverage of topics like: Extensive discussions of basic and foundational concepts in statistical methods, including Bayes' Theorem, populations, and samples A treatment of univariable analysis, covering topics like continuous dependent variables and ordinal dependent variables An examination of bivariable analysis, including regression analysis and correlation analysis An analysis of multivariate calculations in statistics and how testing assumptions, like assuming Gaussian distributions or equal variances, affect statistical outcomes Perfect for health researchers of all kinds, Introduction to Biostatistical Applications in Health Research also belongs on the bookshelves of anyone who wishes to better understand health research literature. Even those without a great deal of mathematical background will benefit greatly from this text.

Biostatistics for Clinical and Public Health Research

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Author :
Publisher : Routledge
ISBN 13 : 1351651714
Total Pages : 537 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Biostatistics for Clinical and Public Health Research by : Melody S. Goodman

Download or read book Biostatistics for Clinical and Public Health Research written by Melody S. Goodman and published by Routledge. This book was released on 2017-12-14 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biostatistics for Clinical and Public Health Research provides a concise overview of statistical analysis methods. Use of SAS and Stata statistical software is illustrated in full, including how to interpret results. Focusing on statistical models without all the theory, the book is complete with exercises, case studies, take-away points, and data sets. Readers will be able to maximize their statistical abilities in hypothesis testing, data interpretation, and application while also learning when and how to consult a biostatistician. This book will be an invaluable tool for students and clinical and public health practitioners.

Biostatistical Applications in Cancer Research

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 1475735715
Total Pages : 242 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Biostatistical Applications in Cancer Research by : Craig Beam

Download or read book Biostatistical Applications in Cancer Research written by Craig Beam and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biostatistics is defined as much by its application as it is by theory. This book provides an introduction to biostatistical applications in modern cancer research that is both accessible and valuable to the cancer biostatistician or to the cancer researcher, learning biostatistics. The topical areas include active areas of the application of biostatistics to modern cancer research: survival analysis, screening, diagnostics, spatial analysis and the analysis of microarray data. Biostatistics is an essential component of basic and clinical cancer research. The text, authored by distinguished figures in the field, addresses clinical issues in statistical analysis. The spectrum of topics discussed ranges from fundamental methodology to clinical and translational applications.

Workbook to Accompany Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel

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Author :
Publisher : Wiley
ISBN 13 : 9781119089988
Total Pages : 240 pages
Book Rating : 4.0/5 (899 download)

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Book Synopsis Workbook to Accompany Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel by : Robert P. Hirsch

Download or read book Workbook to Accompany Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel written by Robert P. Hirsch and published by Wiley. This book was released on 2016-04-25 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Workbook to accompany Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel—practical and methodological approach to the statistical logic of biostatistics in the field of health research.

Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel Set

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Author :
Publisher : John Wiley & Sons
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4./5 ( download)

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Book Synopsis Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel Set by : Robert P. Hirsch

Download or read book Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel Set written by Robert P. Hirsch and published by John Wiley & Sons. This book was released on 2016-02-29 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This set includes Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel and Workbook to accompany Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel. Focusing on a basic understanding of the methods and analyses in health research, Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel provides statistical concepts for interpreting results using Microsoft Office Excel. The book emphasizes the application of methods and presents the most common methodological procedures in health research, which includes multiple regression, ANOVA, ANCOVA, logistic regression, Cox regression, stratified analysis, life table analysis, and nonparametric parallels. The book is constructed around a flowchart that outlines the appropriate circumstances for selecting a method to analyze a specific set of data. Beginning with an introduction to the foundational methods of statistical logic before moving on to more complex methods, Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel also includes: Detailed discussions of how knowledge and skills in health research have been integrated with biostatistical methods Numerous examples with clear explanations that use mostly real-world health research data provide a better understanding of the practical applications Implements Excel graphic representations throughout to help readers evaluate and analyze individual results An appendix with basic information on how to use Excel A companion website with additional Excel files, data sets, and homework problems as well as an Instructor’s Solutions Manual

Out of Print: Essentials of Biostatistics in Public Health

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Author :
Publisher : Jones & Bartlett Publishers
ISBN 13 : 0763795321
Total Pages : 329 pages
Book Rating : 4.7/5 (637 download)

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Book Synopsis Out of Print: Essentials of Biostatistics in Public Health by : Lisa M. Sullivan

Download or read book Out of Print: Essentials of Biostatistics in Public Health written by Lisa M. Sullivan and published by Jones & Bartlett Publishers. This book was released on 2011-03-24 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: With a presentation style that is clear and straightforward, the text uses examples that are real, relevant, and manageable in size so that students can focus on applications rather than become overwhelmed by computations. This text is just one offering in Jones and Bartlett's unique Essential Public Health Series. Important Notice: The digital edition of this book is missing some of the images or content found in the physical edition.

Statistical Causal Inferences and Their Applications in Public Health Research

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Author :
Publisher : Springer
ISBN 13 : 3319412590
Total Pages : 324 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Statistical Causal Inferences and Their Applications in Public Health Research by : Hua He

Download or read book Statistical Causal Inferences and Their Applications in Public Health Research written by Hua He and published by Springer. This book was released on 2016-10-26 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book compiles and presents new developments in statistical causal inference. The accompanying data and computer programs are publicly available so readers may replicate the model development and data analysis presented in each chapter. In this way, methodology is taught so that readers may implement it directly. The book brings together experts engaged in causal inference research to present and discuss recent issues in causal inference methodological development. This is also a timely look at causal inference applied to scenarios that range from clinical trials to mediation and public health research more broadly. In an academic setting, this book will serve as a reference and guide to a course in causal inference at the graduate level (Master's or Doctorate). It is particularly relevant for students pursuing degrees in statistics, biostatistics, and computational biology. Researchers and data analysts in public health and biomedical research will also find this book to be an important reference.

Innovative Statistical Methods for Public Health Data

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Author :
Publisher : Springer
ISBN 13 : 3319185365
Total Pages : 354 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Innovative Statistical Methods for Public Health Data by : Ding-Geng (Din) Chen

Download or read book Innovative Statistical Methods for Public Health Data written by Ding-Geng (Din) Chen and published by Springer. This book was released on 2015-08-31 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book brings together experts working in public health and multi-disciplinary areas to present recent issues in statistical methodological development and their applications. This timely book will impact model development and data analyses of public health research across a wide spectrum of analysis. Data and software used in the studies are available for the reader to replicate the models and outcomes. The fifteen chapters range in focus from techniques for dealing with missing data with Bayesian estimation, health surveillance and population definition and implications in applied latent class analysis, to multiple comparison and meta-analysis in public health data. Researchers in biomedical and public health research will find this book to be a useful reference and it can be used in graduate level classes.

Applied Biostatistics for the Health Sciences

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Publisher : John Wiley & Sons
ISBN 13 : 1119722691
Total Pages : 692 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Applied Biostatistics for the Health Sciences by : Richard J. Rossi

Download or read book Applied Biostatistics for the Health Sciences written by Richard J. Rossi and published by John Wiley & Sons. This book was released on 2022-04-05 with total page 692 pages. Available in PDF, EPUB and Kindle. Book excerpt: APPLIED BIOSTATISTICS FOR THE HEALTH SCIENCES In this newly revised edition of Applied Biostatistics for the Health Sciences, accomplished statistician Dr. Richard Rossi delivers a robust and easy-to-understand exploration of statistics in the context of applied health science and biostatistics. The book covers sample design, logistic regression, experimental design, survival analysis, basic statistical computation, and many more topics with a strong focus on the correct use and interpretation of statistics. The author also explains how to assess the quality of observed data, how to collect quality data, and the use of confidence intervals in conjunction with hypothesis and significance tests. A thorough introduction to biostatistics, including explanations of fundamental concepts like populations, samples, statistics, biomedical studies, and data set examples A comprehensive exploration of population descriptions, including qualitative and quantitative variables, multivariate data, measures of dispersion, and probability Practical discussions of random sampling, summarizing random samples, and the measurement of the reliability of statistics In-depth examinations of confidence intervals, statistical hypothesis testing, simple and multiple linear regression, and experimental design Perfect for health science and biostatistics students and professors at the upper undergraduate and graduate levels, Applied Biostatistics for the Health Sciences is also a must-read reference for practitioners and professionals in the fields of pharmacy, biochemistry, nursing, health care informatics, and the applied health sciences.

Statistical Methods for Global Health and Epidemiology

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Author :
Publisher : Springer Nature
ISBN 13 : 3030352609
Total Pages : 420 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Statistical Methods for Global Health and Epidemiology by : Xinguang Chen

Download or read book Statistical Methods for Global Health and Epidemiology written by Xinguang Chen and published by Springer Nature. This book was released on 2020-04-13 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines statistical methods and models used in the fields of global health and epidemiology. It includes methods such as innovative probability sampling, data harmonization and encryption, and advanced descriptive, analytical and monitory methods. Program codes using R are included as well as real data examples. Contemporary global health and epidemiology involves a myriad of medical and health challenges, including inequality of treatment, the HIV/AIDS epidemic and its subsequent control, the flu, cancer, tobacco control, drug use, and environmental pollution. In addition to its vast scales and telescopic perspective; addressing global health concerns often involves examining resource-limited populations with large geographic, socioeconomic diversities. Therefore, advancing global health requires new epidemiological design, new data, and new methods for sampling, data processing, and statistical analysis. This book provides global health researchers with methods that will enable access to and utilization of existing data. Featuring contributions from both epidemiological and biostatistical scholars, this book is a practical resource for researchers, practitioners, and students in solving global health problems in research, education, training, and consultation.

Biostatistical Applications in Health Research Workbook

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Author :
Publisher :
ISBN 13 : 9780964183223
Total Pages : pages
Book Rating : 4.1/5 (832 download)

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Book Synopsis Biostatistical Applications in Health Research Workbook by : Robert P. Hirsch

Download or read book Biostatistical Applications in Health Research Workbook written by Robert P. Hirsch and published by . This book was released on 2009 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Biostatistics for Epidemiology and Public Health Using R

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Author :
Publisher : Springer Publishing Company
ISBN 13 : 0826110266
Total Pages : 460 pages
Book Rating : 4.8/5 (261 download)

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Book Synopsis Biostatistics for Epidemiology and Public Health Using R by : Bertram K.C. Chan, PhD

Download or read book Biostatistics for Epidemiology and Public Health Using R written by Bertram K.C. Chan, PhD and published by Springer Publishing Company. This book was released on 2015-11-05 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since it first appeared in 1996, the open-source programming language R has become increasingly popular as an environment for statistical analysis and graphical output. In addition to being freely available, R offers several advantages for biostatistics, including strong graphics capabilities, the ability to write customized functions, and its extensibility. This is the first textbook to present classical biostatistical analysis for epidemiology and related public health sciences to students using the R language. Based on the assumption that readers have minimal familiarity with statistical concepts, the author uses a step-bystep approach to building skills. The text encompasses biostatistics from basic descriptive and quantitative statistics to survival analysis and missing data analysis in epidemiology. Illustrative examples, including real-life research problems and exercises drawn from such areas as nutrition, environmental health, and behavioral health, engage students and reinforce the understanding of R. These examples illustrate the replication of R for biostatistical calculations and graphical display of results. The text covers both essential and advanced techniques and applications in biostatistics that are relevant to epidemiology. This text is supplemented with teaching resources, including an online guide for students in solving exercises and an instructor's manual. KEY FEATURES: First overview biostatistics textbook for epidemiology and public health that uses the open-source R program Covers essential and advanced techniques and applications in biostatistics as relevant to epidemiology Features abundant examples and exercises to illustrate the application of R language for biostatistical calculations and graphical displays of results Includes online student solutions guide and instructor's manual

Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119089654
Total Pages : 416 pages
Book Rating : 4.1/5 (19 download)

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Book Synopsis Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel by : Robert P. Hirsch

Download or read book Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel written by Robert P. Hirsch and published by John Wiley & Sons. This book was released on 2016-02-29 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical and methodological approach to the statistical logic of biostatistics in the field of health research Focusing on a basic understanding of the methods and analyses in health research, Introduction to Biostatistical Applications in Health Research with Microsoft® Office Excel® provides statistical concepts for interpreting results using Excel. The book emphasizes the application of methods and presents the most common methodological procedures in health research, which includes multiple regression, ANOVA, ANCOVA, logistic regression, Cox regression, stratified analysis, life table analysis, and nonparametric parallels. The book is constructed around a flowchart that outlines the appropriate circumstances for selecting a method to analyze a specific set of data. Beginning with an introduction to the foundational methods of statistical logic before moving on to more complex methods, Introduction to Biostatistical Applications in Health Research with Microsoft® Office Excel® also includes: Detailed discussions of how knowledge and skills in health research have been integrated with biostatistical methods Numerous examples with clear explanations that use mostly real-world health research data in order to provide a better understanding of the practical applications Implements Excel graphic representations throughout to help readers evaluate and analyze individual results An appendix with basic information on how to use Excel A companion website with additional Excel files, data sets, and homework problems as well as an Instructor’s Solutions Manual Introduction to Biostatistical Applications in Health Research with Microsoft® Office Excel® is an excellent textbook for upper-undergraduate and graduate-level courses in biostatistics and public health. In addition, the book is an appropriate reference for both health researchers and professionals.

Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel and R

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119722594
Total Pages : 642 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel and R by : Robert P. Hirsch

Download or read book Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel and R written by Robert P. Hirsch and published by John Wiley & Sons. This book was released on 2021-02-17 with total page 642 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of Introduction to Biostatistical Applications in Health Research delivers a thorough examination of the basic techniques and most commonly used statistical methods in health research. Retaining much of what was popular with the well-received first edition, the thoroughly revised second edition includes a new chapter on testing assumptions and how to evaluate whether those assumptions are satisfied and what to do if they are not. The newest edition contains brand-new code examples for using the popular computer language R to perform the statistical analyses described in the chapters within. You'll learn how to use Excel to generate datasets for R, which can then be used to conduct statistical calculations on your data. The book also includes a companion website with a new version of BAHR add-in programs for Excel. This new version contains new programs for nonparametric analyses, Student-Newman-Keuls tests, and stratified analyses. Readers will also benefit from coverage of topics like: Extensive discussions of basic and foundational concepts in statistical methods, including Bayes' Theorem, populations, and samples A treatment of univariable analysis, covering topics like continuous dependent variables and ordinal dependent variables An examination of bivariable analysis, including regression analysis and correlation analysis An analysis of multivariate calculations in statistics and how testing assumptions, like assuming Gaussian distributions or equal variances, affect statistical outcomes Perfect for health researchers of all kinds, Introduction to Biostatistical Applications in Health Research also belongs on the bookshelves of anyone who wishes to better understand health research literature. Even those without a great deal of mathematical background will benefit greatly from this text.