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Biostatistics and Computer-based Analysis of Health Data using Stata

Biostatistics and Computer-based Analysis of Health Data using Stata
A Book

by Christophe Lalanne,Mounir Mesbah

  • Publisher : Elsevier
  • Release : 2016-09-06
  • Pages : 134
  • ISBN : 0081010842
  • Language : En, Es, Fr & De
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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

Biostatistics and Computer-based Analysis of Health Data Using SAS

Biostatistics and Computer-based Analysis of Health Data Using SAS
A Book

by Christophe Lalanne,Mounir Mesbah

  • Publisher : Elsevier
  • Release : 2017-06-22
  • Pages : 174
  • ISBN : 0081011717
  • Language : En, Es, Fr & De
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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

Biostatistics
A Guide to Design, Analysis and Discovery

by Ronald N. Forthofer,Eun Sul Lee

  • Publisher : Elsevier
  • Release : 2014-05-19
  • Pages : 567
  • ISBN : 1483296741
  • Language : En, Es, Fr & De
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The Biostatistics course is often found in the schools of public Health, medical schools, and, occasionally, in statistics and biology departments. The population of students in these courses is a diverse one, with varying preparedness. The book assumes the reader has at least two years of high school algebra, but no previous exposure to statistics is required. Written for individuals who might be fearful of mathematics, this book minimizes the technical difficulties and emphasizes the importance of statistics in scientific investigation. An understanding of underlying design and analysis is stressed. The limitations of the research, design and analytical techniques are discussed, allowing the reader to accurately interpret results. Real data, both processed and raw, are used extensively in examples and exercises. Statistical computing packages - MINITAB, SAS and Stata - are integrated. The use of the computer and software allows a sharper focus on the concepts, letting the computer do the necessary number-crunching. * Emphasizes underlying statistical concepts more than competing texts * Focuses on experimental design and analysis, at an elementary level * Includes an introduction to linear correlation and regression * Statistics are central: probability is downplayed * Presents life tables and survival analysis * Appendix with solutions to many exercises * Special instructor's manual with solution to all exercises

STATA Base Reference Manual

STATA Base Reference Manual
Reference Manual, Release 9. A-J. Vol. 1

by Stata Press

  • Publisher : Unknown Publisher
  • Release : 2005
  • Pages : 577
  • ISBN : 9781881228912
  • Language : En, Es, Fr & De
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Applied Epidemiology and Biostatistics

Applied Epidemiology and Biostatistics
A Book

by Giuseppe La Torre

  • Publisher : SEEd
  • Release : 2010-11-25
  • Pages : 400
  • ISBN : 9788889688564
  • Language : En, Es, Fr & De
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This book provides not only the theory of biostatistics, but also the opportunity of applying it in practice. In fact, each chapter presents one or more specific examples on how to perform an epidemiological or statistical data analysis and includes download access to the software and databases, giving the reader the possibility of replicating the analyses described.

Modern Healthcare

Modern Healthcare
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1998-04
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Technometrics

Technometrics
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 2000
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Statistics Catalog 2005

Statistics Catalog 2005
A Book

by Neil Thomson

  • Publisher : Unknown Publisher
  • Release : 2004-09
  • Pages : 329
  • ISBN : 9780534420451
  • Language : En, Es, Fr & De
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AMSTAT News

AMSTAT News
A Book

by American Statistical Association

  • Publisher : Unknown Publisher
  • Release : 2004
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Survival Analysis

Survival Analysis
A Self-Learning Text, Third Edition

by David G. Kleinbaum,Mitchel Klein

  • Publisher : Springer
  • Release : 2011-10-17
  • Pages : 700
  • ISBN : 1441966463
  • Language : En, Es, Fr & De
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An excellent introduction for all those coming to the subject for the first time. New material has been added to the second edition and the original six chapters have been modified. The previous edition sold 9500 copies world wide since its release in 1996. Based on numerous courses given by the author to students and researchers in the health sciences and is written with such readers in mind. Provides a "user-friendly" layout and includes numerous illustrations and exercises. Written in such a way so as to enable readers learn directly without the assistance of a classroom instructor. Throughout, there is an emphasis on presenting each new topic backed by real examples of a survival analysis investigation, followed up with thorough analyses of real data sets.

Computational Statistics & Data Analysis

Computational Statistics & Data Analysis
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 2002
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Epidemiological Bulletin

Epidemiological Bulletin
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 2001
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Health Research

Health Research
A Book

by Catherine Anne Berglund

  • Publisher : Oxford University Press, USA
  • Release : 2001
  • Pages : 298
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Making the subject of research approachable and understandable, Health Research is both a text for all students in the health sciences and a manual for health researchers and health care workers.

Dissertation Abstracts International

Dissertation Abstracts International
The sciences and engineering. B

by Anonim

  • Publisher : Unknown Publisher
  • Release : 2002
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Biomarkers of Genotoxicity, Oxidative Stress, and Genetic Susceptibility Related to Ambient O3 Exposure in Humans

Biomarkers of Genotoxicity, Oxidative Stress, and Genetic Susceptibility Related to Ambient O3 Exposure in Humans
A Book

by Connie Li-An Chen

  • Publisher : Unknown Publisher
  • Release : 2007
  • Pages : 318
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Encyclopedia of Public Health: S-Z

Encyclopedia of Public Health: S-Z
A Book

by Lester Breslow

  • Publisher : MacMillan Reference Library
  • Release : 2002
  • Pages : 1480
  • ISBN : 9780028653532
  • Language : En, Es, Fr & De
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This four-volume reference offers the lay reader information about important aspects of the sciences, arts, practical skills, organization, essential functions, and historical traditions of the public health field.

American Journal of Public Health

American Journal of Public Health
JPH

by Anonim

  • Publisher : Unknown Publisher
  • Release : 2009
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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A Practitioner's Guide to Resampling for Data Analysis, Data Mining, and Modeling

A Practitioner's Guide to Resampling for Data Analysis, Data Mining, and Modeling
A Book

by Phillip Good

  • Publisher : CRC Press
  • Release : 2019-06-19
  • Pages : 224
  • ISBN : 9780367382483
  • Language : En, Es, Fr & De
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Distribution-free resampling methods--permutation tests, decision trees, and the bootstrap--are used today in virtually every research area. A Practitioner's Guide to Resampling for Data Analysis, Data Mining, and Modeling explains how to use the bootstrap to estimate the precision of sample-based estimates and to determine sample size, data permutations to test hypotheses, and the readily-interpreted decision tree to replace arcane regression methods. Highlights Each chapter contains dozens of thought provoking questions, along with applicable R and Stata code Methods are illustrated with examples from agriculture, audits, bird migration, clinical trials, epidemiology, image processing, immunology, medicine, microarrays and gene selection Lists of commercially available software for the bootstrap, decision trees, and permutation tests are incorporated in the text Access to APL, MATLAB, and SC code for many of the routines is provided on the author's website The text covers estimation, two-sample and k-sample univariate, and multivariate comparisons of means and variances, sample size determination, categorical data, multiple hypotheses, and model building Statistics practitioners will find the methods described in the text easy to learn and to apply in a broad range of subject areas from A for Accounting, Agriculture, Anthropology, Aquatic science, Archaeology, Astronomy, and Atmospheric science to V for Virology and Vocational Guidance, and Z for Zoology. Practitioners and research workers and in the biomedical, engineering and social sciences, as well as advanced students in biology, business, dentistry, medicine, psychology, public health, sociology, and statistics will find an easily-grasped guide to estimation, testing hypotheses and model building.

American Book Publishing Record

American Book Publishing Record
BPR annual cumulative

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1991
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Presenting Medical Statistics from Proposal to Publication

Presenting Medical Statistics from Proposal to Publication
A Book

by Janet L. Peacock,Sally M. Kerry,Raymond R. Balise

  • Publisher : Oxford University Press
  • Release : 2017-07-21
  • Pages : 224
  • ISBN : 0192526731
  • Language : En, Es, Fr & De
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As many medical and healthcare researchers have a love-hate relationship with statistics, the second edition of this practical reference book may make all the difference. Using practical examples, mainly from the authors' own research, the book explains how to make sense of statistics, turn statistical computer output into coherent information, and help decide which pieces of information to report and how to present them. The book takes you through all the stages of the research process, from the initial research proposal, through ethical approval and data analysis, to reporting on and publishing the findings. Helpful tips and information boxes, offer clear guidance throughout, including easily followed instructions on how to: -develop a quantitative research proposal for ethical/institutional approval or research funding -write up the statistical aspects of a paper for publication -choose and perform simple and more advanced statistical analyses -describe the statistical methods and present the results of an analysis. This new edition covers a wider range of statistical programs - SAS, STATA, R, and SPSS, and shows the commands needed to obtain the analyses and how to present it, whichever program you are using. Each specific example is annotated to indicate other scenarios that can be analysed using the same methods, allowing you to easily transpose the knowledge gained from the book to your own research. The principles of good presentation are also covered in detail, from translating relevant results into suitable extracts, through to randomised controlled trials, and how to present a meta-analysis. An added ingredient is the inclusion of code and datasets for all analyses shown in the book on our website (http://medical-statistics.info). Written by three experienced biostatisticians based in the UK and US, this is a step-by-step guide that will be invaluable to researchers and postgraduate students in medicine, those working in the professions allied to medicine, and statisticians in consultancy roles.