Biostatistics and Computer based Analysis of Health Data Using SAS Book

Biostatistics and Computer based Analysis of Health Data Using SAS


  • Author : Christophe Lalanne
  • Publisher : Elsevier
  • Release Date : 2017-06-22
  • Genre: Computers
  • Pages : 174
  • ISBN 10 : 9780081011713

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Biostatistics and Computer based Analysis of Health Data Using SAS 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

Biostatistics and Computer based Analysis of Health Data using R Book

Biostatistics and Computer based Analysis of Health Data using R


  • Author : Christophe Lalanne
  • Publisher : Elsevier
  • Release Date : 2016-07-13
  • Genre: Medical
  • Pages : 206
  • ISBN 10 : 9780081011751

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Biostatistics and Computer based Analysis of Health Data using R Excerpt :

Biostatistics and Computer-Based Analysis of Health Data Using the R Software addresses the concept that many of the actions performed by statistical software comes back to the handling, manipulation, or even transformation of digital data. It is therefore of primary importance to understand how statistical data is displayed and how it can be exploited by software such as R. In this book, the authors explore basic and variable commands, sample comparisons, analysis of variance, epidemiological studies, and censored data. With proposed applications and examples of commands following each chapter, this book allows readers to apply advanced statistical concepts to their own data and software. Features useful commands for describing a data table composed made up of quantitative and qualitative variables Includes measures of association encountered in epidemiological studies, odds ratio, relative risk, and prevalence Presents an analysis of censored data, the key main tests associated with the construction of a survival curve (log-rank test or Wilcoxon), and the Cox regression model

Analysis in Nutrition Research Book

Analysis in Nutrition Research


  • Author : George Pounis
  • Publisher : Academic Press
  • Release Date : 2018-10-19
  • Genre: Health & Fitness
  • Pages : 408
  • ISBN 10 : 9780128145579

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Analysis in Nutrition Research Excerpt :

Analysis in Nutrition Research: Principles of Statistical Methodology and Interpretation of the Results describes, in a comprehensive manner, the methodologies of quantitative analysis of data originating specifically from nutrition studies. The book summarizes various study designs in nutrition research, research hypotheses, the proper management of dietary data, and analytical methodologies, with a specific focus on how to interpret the results of any given study. In addition, it provides a comprehensive overview of the methodologies used in study design and the management and analysis of collected data, paying particular attention to all of the available, modern methodologies and techniques. Users will find an overview of the recent challenges and debates in the field of nutrition research that will define major research hypotheses for research in the next ten years. Nutrition scientists, researchers and undergraduate and postgraduate students will benefit from this thorough publication on the topic. Provides a comprehensive presentation of the various study designs applied in nutrition research Contains a parallel description of statistical methodologies used for each study design Presents data management methodologies used specifically in nutrition research Describes methodologies using both a theoretical and applied approach Illustrates modern techniques in dietary pattern analysis Summarizes current topics in the field of nutrition research that will define major research hypotheses for research in the next ten years

Machine Learning for Practical Decision Making Book

Machine Learning for Practical Decision Making


  • Author : Christo El Morr
  • Publisher : Springer Nature
  • Release Date : 2022-11-29
  • Genre: Business & Economics
  • Pages : 475
  • ISBN 10 : 9783031169908

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Machine Learning for Practical Decision Making Excerpt :

This book provides a hands-on introduction to Machine Learning (ML) from a multidisciplinary perspective that does not require a background in data science or computer science. It explains ML using simple language and a straightforward approach guided by real-world examples in areas such as health informatics, information technology, and business analytics. The book will help readers understand the various key algorithms, major software tools, and their applications. Moreover, through examples from the healthcare and business analytics fields, it demonstrates how and when ML can help them make better decisions in their disciplines. The book is chiefly intended for undergraduate and graduate students who are taking an introductory course in machine learning. It will also benefit data analysts and anyone interested in learning ML approaches.

Biostatistics and Computer based Analysis of Health Data using Stata Book

Biostatistics and Computer based Analysis of Health Data using Stata


  • Author : Christophe Lalanne
  • Publisher : Elsevier
  • Release Date : 2016-09-06
  • Genre: Computers
  • Pages : 134
  • ISBN 10 : 9780081010846

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Biostatistics and Computer based Analysis of Health Data using Stata 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

Statistical Analysis of Medical Data Using SAS Book

Statistical Analysis of Medical Data Using SAS


  • Author : Geoff Der
  • Publisher : CRC Press
  • Release Date : 2005-09-20
  • Genre: Mathematics
  • Pages : 450
  • ISBN 10 : 158488469X

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Statistical Analysis of Medical Data Using SAS Excerpt :

Statistical analysis is ubiquitous in modern medical research. Logistic regression, generalized linear models, random effects models, and Cox's regression all have become commonplace in the medical literature. But while statistical software such as SAS make routine application of these techniques possible, users who are not primarily statisticians must take care to correctly implement the various procedures and correctly interpret the output. Statistical Analysis of Medical Data Using SAS demonstrates how to use SAS to analyze medical data. Each chapter addresses a particular analysis method. The authors briefly describe each procedure, but focus on its SAS implementation and properly interpreting the output. The carefully designed presentation relegates the theoretical details to "Displays," so that the code and results can be explored without interruption. All of the code and data sets used in the book are available for download from either the SAS Web site or www.crcpress.com. Der and Everitt, authors of the best-selling Handbook of Statistical Analyses Using SAS, bring all of their considerable talent and experience to bear in this book. Step-by-step instructions, lucid explanations and clear examples combine to form an outstanding, self-contained guide--suitable for medical researchers and statisticians alike--to using SAS to analyze medical data.

Biostatistical Methods Book

Biostatistical Methods


  • Author : John M. Lachin
  • Publisher : John Wiley & Sons
  • Release Date : 2014-08-22
  • Genre: Mathematics
  • Pages : 672
  • ISBN 10 : 9781118625842

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Biostatistical Methods Excerpt :

Praise for the First Edition ". . . an excellent textbook . . . an indispensable referencefor biostatisticians and epidemiologists." —International Statistical Institute A new edition of the definitive guide to classical and modernmethods of biostatistics Biostatistics consists of various quantitative techniques thatare essential to the description and evaluation of relationshipsamong biologic and medical phenomena. Biostatistical Methods:The Assessment of Relative Risks, Second Edition develops basicconcepts and derives an expanded array of biostatistical methodsthrough the application of both classical statistical tools andmore modern likelihood-based theories. With its fluid and balancedpresentation, the book guides readers through the importantstatistical methods for the assessment of absolute and relativerisks in epidemiologic studies and clinical trials withcategorical, count, and event-time data. Presenting a broad scope of coverage and the latest research onthe topic, the author begins with categorical data analysis methodsfor cross-sectional, prospective, and retrospective studies ofbinary, polychotomous, and ordinal data. Subsequent chapterspresent modern model-based approaches that include unconditionaland conditional logistic regression; Poisson and negative binomialmodels for count data; and the analysis of event-time dataincluding the Cox proportional hazards model and itsgeneralizations. The book now includes an introduction to mixedmodels with fixed and random effects as well as expanded methodsfor evaluation of sample size and power. Additional new topicsfeatured in this Second Edition include: Establishing equivalence and non-inferiority Methods for the analysis of polychotomous and ordinal data,including matched data and the Kappa agreement index Multinomial logistic for polychotomous data and proportionalodds models for ordinal data Negative binomial models for count data as an alternative tothe Poisson model GEE models for the analysis of long

Applied Medical Statistics Using SAS Book

Applied Medical Statistics Using SAS


  • Author : Geoff Der
  • Publisher : CRC Press
  • Release Date : 2012-10-01
  • Genre: Mathematics
  • Pages : 559
  • ISBN 10 : 9781439867983

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Applied Medical Statistics Using SAS Excerpt :

Written with medical statisticians and medical researchers in mind, this intermediate-level reference explores the use of SAS for analyzing medical data. Applied Medical Statistics Using SAS covers the whole range of modern statistical methods used in the analysis of medical data, including regression, analysis of variance and covariance, longitudi

Categorical Data Analysis Using SAS  Third Edition Book

Categorical Data Analysis Using SAS Third Edition


  • Author : Maura E. Stokes
  • Publisher : SAS Institute
  • Release Date : 2012-07-31
  • Genre: Computers
  • Pages : 590
  • ISBN 10 : 9781629590356

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Categorical Data Analysis Using SAS Third Edition Excerpt :

Statisticians and researchers will find this book, newly updated for SAS/STAT 12.1, to be a useful discussion of categorical data analysis techniques as well as an invaluable aid in applying these methods with SAS.

Data Analysis Using SAS Book

Data Analysis Using SAS


  • Author : C.Y. Joanne Peng
  • Publisher : SAGE Publications
  • Release Date : 2008-08-28
  • Genre: Education
  • Pages : 640
  • ISBN 10 : 9781483342795

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Data Analysis Using SAS Excerpt :

Data Analysis Using SAS offers a comprehensive core text focused on key concepts and techniques in quantitative data analysis using the most current SAS commands and programming language. The coverage of the text is more evenly balanced among statistical analysis, SAS programming, and data/file management than any available text on the market. It provides students with a hands-on, exercise-heavy method for learning basic to intermediate SAS commands while understanding how to apply statistics and reasoning to real-world problems. Designed to be used in order of teaching preference by instructor, the book is comprised of two primary sections: the first half of the text instructs students in techniques for data and file managements such as concatenating and merging files, conditional or repetitive processing of variables, and observations. The second half of the text goes into great depth on the most common statistical techniques and concepts - descriptive statistics, correlation, analysis of variance, and regression - used to analyze data in the social, behavioral, and health sciences using SAS commands. A student study at www.sagepub.com/pengstudy comes replete with a multitude of computer programs, their output, specific details on how to check assumptions, as well as all data sets used in the book. Data Analysis Using SAS is a complete resource for Data Analysis I and II, Statistics I and II, Quantitative Reasoning, and SAS Programming courses across the social and behavioral sciences and health - especially those that carry a lab component.

Introduction to Biostatistics with JMP Book

Introduction to Biostatistics with JMP


  • Author : Steve Figard
  • Publisher : SAS Institute
  • Release Date : 2019-10-04
  • Genre: Computers
  • Pages : 288
  • ISBN 10 : 9781635267181

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Introduction to Biostatistics with JMP Excerpt :

Explore biostatistics using JMP® in this refreshing introduction Presented in an easy-to-understand way, Introduction to Biostatistics with JMP® introduces undergraduate students in the biological sciences to the most commonly used (and misused) statistical methods that they will need to analyze their experimental data using JMP. It covers many of the basic topics in statistics using biological examples for exercises so that the student biologists can see the relevance to future work in the problems addressed. The book starts by teaching students how to become confident in executing the right analysis by thinking like a statistician then moves into the application of specific tests. Using the powerful capabilities of JMP, the book addresses problems requiring analysis by chi-square tests, t tests, ANOVA analysis, various regression models, DOE, and survival analysis. Topics of particular interest to the biological or health science field include odds ratios, relative risk, and survival analysis. The author uses an engaging, conversational tone to explain concepts and keep readers interested in learning more. The book aims to create bioscientists who can competently incorporate statistics into their investigative toolkits to solve biological research questions as they arise.

Introductory Biostatistics Book
Score: 3
From 1 Ratings

Introductory Biostatistics


  • Author : Chap T. Le
  • Publisher : John Wiley & Sons
  • Release Date : 2003-05-13
  • Genre: Mathematics
  • Pages : 555
  • ISBN 10 : 9780471458562

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Introductory Biostatistics Excerpt :

Provides many real-data sets in various fields in the form of examples at at the end of all twelve chapters in the form of exercises. Covers all of the nuts and bolts of biostatistics in a user-friendly style that motivates readers. Contains notes on computations at the end of most chapters, covering the use of Excel, SAS, and others.

Public Health Reports Book

Public Health Reports


  • Author : Anonim
  • Publisher : Unknown
  • Release Date : 2008
  • Genre: Public health
  • Pages : null
  • ISBN 10 : NWU:35556037522109

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Public Health Reports Excerpt :