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.

Applied Biostatistics for the Health Sciences

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119722705
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 2022-04-27 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.

Introductory Applied Biostatistics

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Author :
Publisher : Brooks/Cole Publishing Company
ISBN 13 : 9780534423995
Total Pages : 652 pages
Book Rating : 4.4/5 (239 download)

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Book Synopsis Introductory Applied Biostatistics by : Ralph B. D'Agostino

Download or read book Introductory Applied Biostatistics written by Ralph B. D'Agostino and published by Brooks/Cole Publishing Company. This book was released on 2006 with total page 652 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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!

Biostatistics

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Author :
Publisher : Wiley
ISBN 13 : 1119282373
Total Pages : 720 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis Biostatistics by : Wayne W. Daniel

Download or read book Biostatistics written by Wayne W. Daniel and published by Wiley. This book was released on 2018-11-13 with total page 720 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ability to analyze and interpret enormous amounts of data has become a prerequisite for success in allied healthcare and the health sciences. Now in its 11th edition, Biostatistics: A Foundation for Analysis in the Health Sciences continues to offer in-depth guidance toward biostatistical concepts, techniques, and practical applications in the modern healthcare setting. Comprehensive in scope yet detailed in coverage, this text helps students understand—and appropriately use—probability distributions, sampling distributions, estimation, hypothesis testing, variance analysis, regression, correlation analysis, and other statistical tools fundamental to the science and practice of medicine. Clearly-defined pedagogical tools help students stay up-to-date on new material, and an emphasis on statistical software allows faster, more accurate calculation while putting the focus on the underlying concepts rather than the math. Students develop highly relevant skills in inferential and differential statistical techniques, equipping them with the ability to organize, summarize, and interpret large bodies of data. Suitable for both graduate and advanced undergraduate coursework, this text retains the rigor required for use as a professional reference.

Introductory Biostatistics for the Health Sciences

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 0471458651
Total Pages : 426 pages
Book Rating : 4.4/5 (714 download)

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Book Synopsis Introductory Biostatistics for the Health Sciences by : Michael R. Chernick

Download or read book Introductory Biostatistics for the Health Sciences written by Michael R. Chernick and published by John Wiley & Sons. This book was released on 2003-06-24 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Introductory Biostatistics for the Health Sciences" ist eine fundierte Einführung in die Biostatistik und ihre Anwendungsgebiete. Der Band richtet sich vorwiegend an Mediziner und Statistiker. Theorie und Praxis stehen im ausgewogenen Verhältnis, d.h. praktische Anwendungen werden, wo nötig, durch den theoretischen Hintergrund ergänzt. Der Schwerpunkt liegt eindeutig auf der praktischen Anwendung. Der Band geht auch auf jüngste Fortschritte bei der Bootstrap-, Outlier- und Meta-Analyse ein, Themen, die in der Regel in Konkurrenzwerken, nicht behandelt werden. Mit einer Fülle von Übungsaufgaben. Auch Statistiksoftware wird ausführlich besprochen.

Applied Statistics for the Social and Health Sciences

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Author :
Publisher : Taylor & Francis
ISBN 13 : 1000894738
Total Pages : 800 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Applied Statistics for the Social and Health Sciences by : Rachel A. Gordon

Download or read book Applied Statistics for the Social and Health Sciences written by Rachel A. Gordon and published by Taylor & Francis. This book was released on 2023-11-15 with total page 800 pages. Available in PDF, EPUB and Kindle. Book excerpt: For graduate students in the social and health sciences, featuring essential concepts and equations most often needed in scholarly publications. Uses excerpts from the scholarly literature in these fields to introduce new concepts. Uses publicly-available data that are regularly used in social and health science publications to introduce Stata code and illustrate concepts and interpretation. Thoroughly integrates the teaching of statistical theory with teaching data processing and analysis. Offers guidance about planning projects and organizing code for reproducibility Shows how to recognize critiques of the constructions, terminology, and interpretations of statistics. New edition focuses on Stata, with code integrated into the chapters (rather than appendices, as in the first edition) includes Stata’s factor variables and margins commands and Long and Freese’s (2014) spost13 commands, to simplify programming and facilitate interpretation.

Biostatistics

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 0471602353
Total Pages : 894 pages
Book Rating : 4.4/5 (716 download)

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Book Synopsis Biostatistics by : Gerald van Belle

Download or read book Biostatistics written by Gerald van Belle and published by John Wiley & Sons. This book was released on 2004-10-06 with total page 894 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Applied Statistics in Health Sciences

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Author :
Publisher : Jaypee Brothers Medical Publishers Pvt. Limited
ISBN 13 : 9788184488012
Total Pages : 0 pages
Book Rating : 4.4/5 (88 download)

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Book Synopsis Applied Statistics in Health Sciences by : NSN Rao

Download or read book Applied Statistics in Health Sciences written by NSN Rao and published by Jaypee Brothers Medical Publishers Pvt. Limited. This book was released on 2008-12-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistics for the Health Sciences

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Author :
Publisher : SAGE
ISBN 13 : 1446291235
Total Pages : 588 pages
Book Rating : 4.4/5 (462 download)

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Book Synopsis Statistics for the Health Sciences by : Christine Dancey

Download or read book Statistics for the Health Sciences written by Christine Dancey and published by SAGE. This book was released on 2012-03-19 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistics for the Health Sciences is a highly readable and accessible textbook on understanding statistics for the health sciences, both conceptually and via the SPSS programme. The authors give clear explanations of the concepts underlying statistical analyses and descriptions of how these analyses are applied in health science research without complex maths formulae. The textbook takes students from the basics of research design, hypothesis testing and descriptive statistical techniques through to more advanced inferential statistical tests that health science students are likely to encounter. The strengths and weaknesses of different techniques are critically appraised throughout, and the authors emphasise how they may be used both in research and to inform best practice care in health settings. Exercises and tips throughout the book allow students to practice using SPSS. The companion website provides further practical experience of conducting statistical analyses. Features include: • multiple choice questions for both student and lecturer use • full Powerpoint slides for lecturers • practical exercises using SPSS • additional practical exercises using SAS and R This is an essential textbook for students studying beginner and intermediate level statistics across the health sciences.

Statistics in the Health Sciences

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Author :
Publisher : CRC Press
ISBN 13 : 1315293757
Total Pages : 355 pages
Book Rating : 4.3/5 (152 download)

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Book Synopsis Statistics in the Health Sciences by : Albert Vexler

Download or read book Statistics in the Health Sciences written by Albert Vexler and published by CRC Press. This book was released on 2018-01-19 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This very informative book introduces classical and novel statistical methods that can be used by theoretical and applied biostatisticians to develop efficient solutions for real-world problems encountered in clinical trials and epidemiological studies. The authors provide a detailed discussion of methodological and applied issues in parametric, semi-parametric and nonparametric approaches, including computationally extensive data-driven techniques, such as empirical likelihood, sequential procedures, and bootstrap methods. Many of these techniques are implemented using popular software such as R and SAS."— Vlad Dragalin, Professor, Johnson and Johnson, Spring House, PA "It is always a pleasure to come across a new book that covers nearly all facets of a branch of science one thought was so broad, so diverse, and so dynamic that no single book could possibly hope to capture all of the fundamentals as well as directions of the field. The topics within the book’s purview—fundamentals of measure-theoretic probability; parametric and non-parametric statistical inference; central limit theorems; basics of martingale theory; Monte Carlo methods; sequential analysis; sequential change-point detection—are all covered with inspiring clarity and precision. The authors are also very thorough and avail themselves of the most recent scholarship. They provide a detailed account of the state of the art, and bring together results that were previously scattered across disparate disciplines. This makes the book more than just a textbook: it is a panoramic companion to the field of Biostatistics. The book is self-contained, and the concise but careful exposition of material makes it accessible to a wide audience. This is appealing to graduate students interested in getting into the field, and also to professors looking to design a course on the subject." — Aleksey S. Polunchenko, Department of Mathematical Sciences, State University of New York at Binghamton This book should be appropriate for use both as a text and as a reference. This book delivers a "ready-to-go" well-structured product to be employed in developing advanced courses. In this book the readers can find classical and new theoretical methods, open problems and new procedures. The book presents biostatistical results that are novel to the current set of books on the market and results that are even new with respect to the modern scientific literature. Several of these results can be found only in this book.

Biostatistics and Computer-based Analysis of Health Data Using SAS

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Author :
Publisher : Elsevier
ISBN 13 : 0081011717
Total Pages : 176 pages
Book Rating : 4.0/5 (81 download)

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Book Synopsis Biostatistics and Computer-based Analysis of Health Data Using SAS by : Christophe Lalanne

Download or read book Biostatistics and Computer-based Analysis of Health Data Using SAS written by Christophe Lalanne and published by Elsevier. This book was released on 2017-06-22 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research.The use of SAS for data management and statistical modeling is illustrated using various examples. Many aspects of data processing and statistical analysis of cross-sectional and experimental medical data are covered, including regression models commonly found in medical statistics. This practical book is primarily intended for health researchers with a basic knowledge of statistical methodology. Assuming basic concepts, the authors focus on the practice of biostatistical methods essential to clinical research, epidemiology and analysis of biomedical data (including comparison of two groups, analysis of categorical data, ANOVA, linear and logistic regression, and survival analysis). The use of examples from clinical trials and epidemiological studies provide the basis for a series of practical exercises, which provide instruction and familiarize the reader with essential SAS commands. - Presents the use of SAS software in the statistical approach for the management of data modeling - Includes elements of the language and descriptive statistics - Supplies measures of association, comparison of means, and proportions for two or more samples - Explores linear and logistic regression - Provides survival data analysis

ABC of Research Methodology and Applied Biostatistics

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Author :
Publisher : Jaypee Brothers,Medical Publishers Pvt. Limited
ISBN 13 : 9788184485066
Total Pages : 156 pages
Book Rating : 4.4/5 (85 download)

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Book Synopsis ABC of Research Methodology and Applied Biostatistics by : MN Parikh

Download or read book ABC of Research Methodology and Applied Biostatistics written by MN Parikh and published by Jaypee Brothers,Medical Publishers Pvt. Limited. This book was released on 2008-12-01 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: Speed and accuracy are the two most important qualities that candidates for the MRCS Viva are expected to demonstrate. Revision Notes for the MRCS Viva has been written to prepare candidates for this most daunting of exams. The book provides a comprehensive exam preparation tool for intercollegiate MRCS oral examinations. It is organised into two sections, the first devoted to chapters on basic sciences, the second to system specific surgery. Each chapter is broken down into topics most likely to appear in current examinations. For each topic, succinct notes provide candidates with a framework for answering the stem and secondary questions encountered in the exam.

Introductory Biostatistics

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1118596072
Total Pages : 616 pages
Book Rating : 4.1/5 (185 download)

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Book Synopsis Introductory Biostatistics by : Chap T. Le

Download or read book Introductory Biostatistics written by Chap T. Le and published by John Wiley & Sons. This book was released on 2016-04-22 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt: Maintaining the same accessible and hands-on presentation, Introductory Biostatistics, Second Edition continues to provide an organized introduction to basic statistical concepts commonly applied in research across the health sciences. With plenty of real-world examples, the new edition provides a practical, modern approach to the statistical topics found in the biomedical and public health fields. Beginning with an overview of descriptive statistics in the health sciences, the book delivers topical coverage of probability models, parameter estimation, and hypothesis testing. Subsequently, the book focuses on more advanced topics with coverage of regression analysis, logistic regression, methods for count data, analysis of survival data, and designs for clinical trials. This extensive update of Introductory Biostatistics, Second Edition includes: • A new chapter on the use of higher order Analysis of Variance (ANOVA) in factorial and block designs • A new chapter on testing and inference methods for repeatedly measured outcomes including continuous, binary, and count outcomes • R incorporated throughout along with SAS®, allowing readers to replicate results from presented examples with either software • Multiple additional exercises, with partial solutions available to aid comprehension of crucial concepts • Notes on Computations sections to provide further guidance on the use of software • A related website that hosts the large data sets presented throughout the book Introductory Biostatistics, Second Edition is an excellent textbook for upper-undergraduate and graduate students in introductory biostatistics courses. The book is also an ideal reference for applied statisticians working in the fields of public health, nursing, dentistry, and medicine.

Biostatistics with R

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Publisher : Springer Science & Business Media
ISBN 13 : 1461413028
Total Pages : 355 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Biostatistics with R by : Babak Shahbaba

Download or read book Biostatistics with R written by Babak Shahbaba and published by Springer Science & Business Media. This book was released on 2011-12-15 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation. The book explains basic statistical concepts with a simple yet rigorous language. The development of ideas is in the context of real applied problems, for which step-by-step instructions for using R and R-Commander are provided. Topics include data exploration, estimation, hypothesis testing, linear regression analysis, and clustering with two appendices on installing and using R and R-Commander. A novel feature of this book is an introduction to Bayesian analysis. This author discusses basic statistical analysis through a series of biological examples using R and R-Commander as computational tools. The book is ideal for instructors of basic statistics for biologists and other health scientists. The step-by-step application of statistical methods discussed in this book allows readers, who are interested in statistics and its application in biology, to use the book as a self-learning text.

Applied Meta-Analysis with R and Stata

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Publisher : CRC Press
ISBN 13 : 0429590237
Total Pages : 423 pages
Book Rating : 4.4/5 (295 download)

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Book Synopsis Applied Meta-Analysis with R and Stata by : Ding-Geng (Din) Chen

Download or read book Applied Meta-Analysis with R and Stata written by Ding-Geng (Din) Chen and published by CRC Press. This book was released on 2021-03-31 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: Review of the First Edition: The authors strive to reduce theory to a minimum, which makes it a self-learning text that is comprehensible for biologists, physicians, etc. who lack an advanced mathematics background. Unlike in many other textbooks, R is not introduced with meaningless toy examples; instead the reader is taken by the hand and shown around some analyses, graphics, and simulations directly relating to meta-analysis... A useful hands-on guide for practitioners who want to familiarize themselves with the fundamentals of meta-analysis and get started without having to plough through theorems and proofs. —Journal of Applied Statistics Statistical Meta-Analysis with R and Stata, Second Edition provides a thorough presentation of statistical meta-analyses (MA) with step-by-step implementations using R/Stata. The authors develop analysis step by step using appropriate R/Stata functions, which enables readers to gain an understanding of meta-analysis methods and R/Stata implementation so that they can use these two popular software packages to analyze their own meta-data. Each chapter gives examples of real studies compiled from the literature. After presenting the data and necessary background for understanding the applications, various methods for analyzing meta-data are introduced. The authors then develop analysis code using the appropriate R/Stata packages and functions. What’s New in the Second Edition: Adds Stata programs along with the R programs for meta-analysis Updates all the statistical meta-analyses with R/Stata programs Covers fixed-effects and random-effects MA, meta-regression, MA with rare-event, and MA-IPD vs MA-SS Adds five new chapters on multivariate MA, publication bias, missing data in MA, MA in evaluating diagnostic accuracy, and network MA Suitable as a graduate-level text for a meta-data analysis course, the book is also a valuable reference for practitioners and biostatisticians (even those with little or no experience in using R or Stata) in public health, medical research, governmental agencies, and the pharmaceutical industry.

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.

Biostatistics and Computer-based Analysis of Health Data using Stata

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Author :
Publisher : Elsevier
ISBN 13 : 0081010842
Total Pages : 136 pages
Book Rating : 4.0/5 (81 download)

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Book Synopsis Biostatistics and Computer-based Analysis of Health Data using Stata by : Christophe Lalanne

Download or read book Biostatistics and Computer-based Analysis of Health Data using Stata written by Christophe Lalanne and published by Elsevier. This book was released on 2016-09-06 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of Stata for data management and statistical modeling is illustrated using various examples. Many aspects of data processing and statistical analysis of cross-sectional and experimental medical data are covered, including regression models commonly found in medical statistics. This practical book is primarily intended for health researchers with basic knowledge of statistical methodology. Assuming basic concepts, the authors focus on the practice of biostatistical methods essential to clinical research, epidemiology and analysis of biomedical data (including comparison of two groups, analysis of categorical data, ANOVA, linear and logistic regression, and survival analysis). The use of examples from clinical trials and epideomological studies provide the basis for a series of practical exercises, which provide instruction and familiarize the reader with essential Stata packages and commands. - Provides detailed examples of the use of Stata for common biostatistical tasks in medical research - Features a work program structured around the four previous chapters and a series of practical exercises with commented corrections - Includes an appendix to help the reader familiarize themselves with additional packages and commands - Focuses on the practice of biostatistical methods that are essential to clinical research, epidemiology, and analysis of biomedical data