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

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

Biostatistics in Public Health Using STATA Book

Biostatistics in Public Health Using STATA


  • Author : Erick L. Suárez
  • Publisher : CRC Press
  • Release Date : 2016-03-24
  • Genre: Mathematics
  • Pages : 206
  • ISBN 10 : 9781498722025

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Biostatistics in Public Health Using STATA Excerpt :

Striking a balance between theory, application, and programming, Biostatistics in Public Health Using STATA is a user-friendly guide to applied statistical analysis in public health using STATA version 14. The book supplies public health practitioners and students with the opportunity to gain expertise in the application of statistics in epidemiolo

An Introduction to Stata for Health Researchers Book
Score: 4
From 2 Ratings

An Introduction to Stata for Health Researchers


  • Author : Svend Juul
  • Publisher : Stata Press
  • Release Date : 2006-03-15
  • Genre: Computers
  • Pages : 326
  • ISBN 10 : 9781597180108

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An Introduction to Stata for Health Researchers Excerpt :

Designed to assist those working in health research, An Introduction to Stata for Health Researchers, explains how to maximize the versatile Strata program for data management, statistical analysis, and graphics for research. The first nine chapters are devoted to becoming familiar with Stata and the essentials of effective data management. The text is also a valuable companion reference for more advanced users. It covers a host of useful applications for health researchers including the analysis of stratified data via epitab and regression models; linear, logistic, and Poisson regression; survival analysis including Cox regression, standardized rates, and correlation/ROC analysis of measurements.

Biostatistics for Clinical and Public Health Research Book

Biostatistics for Clinical and Public Health Research


  • Author : Melody S. Goodman
  • Publisher : Routledge
  • Release Date : 2017-12-14
  • Genre: Medical
  • Pages : 558
  • ISBN 10 : 9781351651714

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Biostatistics for Clinical and Public Health Research 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.

Biostatistics Book

Biostatistics


  • Author : Wayne W. Daniel
  • Publisher : Wiley
  • Release Date : 2018-11-13
  • Genre: Medical
  • Pages : 720
  • ISBN 10 : 9781119282372

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Biostatistics 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.

Data Analysis Using Stata Book
Score: 4
From 1 Ratings

Data Analysis Using Stata


  • Author : Ulrich Kohler
  • Publisher : Stata Press
  • Release Date : 2005-06-15
  • Genre: Computers
  • Pages : 378
  • ISBN 10 : 9781597180078

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Data Analysis Using Stata Excerpt :

Provides an introduction to Stata with an emphasis on data management, linear regression, logistic modeling, and using programs to automate repetitive tasks. This book gives an introduction to the Stata interface and then proceeds with a discussion of Stata syntax and simple programming tools like for each loops.

An Introduction to Statistics and Data Analysis Using Stata   Book

An Introduction to Statistics and Data Analysis Using Stata


  • Author : Lisa Daniels
  • Publisher : SAGE Publications
  • Release Date : 2019-01-11
  • Genre: Social Science
  • Pages : 392
  • ISBN 10 : 9781506371825

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An Introduction to Statistics and Data Analysis Using Stata Excerpt :

An Introduction to Statistics and Data Analysis Using Stata® by Lisa Daniels and Nicholas Minot provides a step-by-step introduction for statistics, data analysis, or research methods classes with Stata. Concise descriptions emphasize the concepts behind statistics for students rather than the derivations of the formulas. With real-world examples from a variety of disciplines and extensive detail on the commands in Stata, this text provides an integrated approach to research design, statistical analysis, and report writing for social science students.

Analyzing Medical Data Using S PLUS Book

Analyzing Medical Data Using S PLUS


  • Author : Brian Everitt
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-03-09
  • Genre: Computers
  • Pages : 486
  • ISBN 10 : 9781475732856

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Analyzing Medical Data Using S PLUS Excerpt :

Each chapter consists of basic statistical theory, simple examples of S-PLUS code, plus more complex examples of S-PLUS code, and exercises. All data sets are taken from genuine medical investigations and will be available on a web site. The examples in the book contain extensive graphical analysis to highlight one of the prime features of S-PLUS. Written with few details of S-PLUS and less technical descriptions, the book concentrates solely on medical data sets, demonstrating the flexibility of S-PLUS and its huge advantages, particularly for applied medical statisticians.

An Introduction to Stata for Health Researchers  Fourth Edition Book

An Introduction to Stata for Health Researchers Fourth Edition


  • Author : Svend Juul
  • Publisher : Stata Press
  • Release Date : 2014-03-21
  • Genre: Mathematics
  • Pages : 346
  • ISBN 10 : 1597181358

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An Introduction to Stata for Health Researchers Fourth Edition Excerpt :

An Introduction to Stata for Health Researchers, Fourth Edition methodically covers data management, simple description and analysis, and more advanced analyses often used in health research, including regression models, survival analysis, and evaluation of diagnostic methods. A chapter on graphics explores most graph types and describes how to modify the appearance of a graph before submitting it for publication. The authors emphasize the importance of good documentation habits to prevent errors and wasted time. Demonstrating the use of strategies and tools for documentation, they provide robust examples and offer the datasets for download online. Updated to correspond to Stata 13, this fourth edition is written for both Windows and Mac users. It provides improved online documentation, including further reading in online manuals.

Analysis of Incidence Rates Book

Analysis of Incidence Rates


  • Author : Peter Cummings
  • Publisher : CRC Press
  • Release Date : 2019-04-16
  • Genre: Mathematics
  • Pages : 474
  • ISBN 10 : 9780429619052

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Analysis of Incidence Rates Excerpt :

Incidence rates are counts divided by person-time; mortality rates are a well-known example. Analysis of Incidence Rates offers a detailed discussion of the practical aspects of analyzing incidence rates. Important pitfalls and areas of controversy are discussed. The text is aimed at graduate students, researchers, and analysts in the disciplines of epidemiology, biostatistics, social sciences, economics, and psychology. Features: Compares and contrasts incidence rates with risks, odds, and hazards. Shows stratified methods, including standardization, inverse-variance weighting, and Mantel-Haenszel methods Describes Poisson regression methods for adjusted rate ratios and rate differences. Examines linear regression for rate differences with an emphasis on common problems. Gives methods for correcting confidence intervals. Illustrates problems related to collapsibility. Explores extensions of count models for rates, including negative binomial regression, methods for clustered data, and the analysis of longitudinal data. Also, reviews controversies and limitations. Presents matched cohort methods in detail. Gives marginal methods for converting adjusted rate ratios to rate differences, and vice versa. Demonstrates instrumental variable methods. Compares Poisson regression with the Cox proportional hazards model. Also, introduces Royston-Parmar models. All data and analyses are in online Stata files which readers can download. Peter Cummings is Professor Emeritus, Department of Epidemiology, School of Public Health, University of Washington, Seattle WA. His research was primarily in the field of injuries. He used matched cohort methods to estimate how the use of seat belts and presence of airbags were related to death in a traffic crash. He is author or co-author of over 100 peer-reviewed articles.

Applied Longitudinal Analysis Book

Applied Longitudinal Analysis


  • Author : Garrett M. Fitzmaurice
  • Publisher : John Wiley & Sons
  • Release Date : 2012-10-23
  • Genre: Mathematics
  • Pages : 740
  • ISBN 10 : 9781118551790

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Applied Longitudinal Analysis Excerpt :

Praise for the First Edition ". . . [this book] should be on the shelf of everyone interestedin . . . longitudinal data analysis." —Journal of the American Statistical Association Features newly developed topics and applications of theanalysis of longitudinal data Applied Longitudinal Analysis, Second Edition presentsmodern methods for analyzing data from longitudinal studies and nowfeatures the latest state-of-the-art techniques. The bookemphasizes practical, rather than theoretical, aspects of methodsfor the analysis of diverse types of longitudinal data that can beapplied across various fields of study, from the health and medicalsciences to the social and behavioral sciences. The authors incorporate their extensive academic and researchexperience along with various updates that have been made inresponse to reader feedback. The Second Edition features six newlyadded chapters that explore topics currently evolving in the field,including: Fixed effects and mixed effects models Marginal models and generalized estimating equations Approximate methods for generalized linear mixed effectsmodels Multiple imputation and inverse probability weightedmethods Smoothing methods for longitudinal data Sample size and power Each chapter presents methods in the setting of applications todata sets drawn from the health sciences. New problem sets havebeen added to many chapters, and a related website features sampleprograms and computer output using SAS, Stata, and R, as well asdata sets and supplemental slides to facilitate a completeunderstanding of the material. With its strong emphasis on multidisciplinary applications andthe interpretation of results, Applied LongitudinalAnalysis, Second Edition is an excellent book for courses onstatistics in the health and medical sciences at theupper-undergraduate and graduate levels. The book also serves as avaluable reference for researchers and professionals in themedical, public health, and pharmaceutical fields as well as thosein soc