Biostatistics and Computer based Analysis of Health Data using Stata

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

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  • Author : Christophe Lalanne
  • Publisher : Elsevier
  • Pages : 134 pages
  • ISBN : 0081010842
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKBiostatistics and Computer based Analysis of Health Data using Stata

Biostatistics and Computer-based Analysis of Health Data using Stata

Biostatistics and Computer-based Analysis of Health Data using Stata
  • Author : Christophe Lalanne,Mounir Mesbah
  • Publisher : Elsevier
  • Release : 06 September 2016
GET THIS BOOKBiostatistics and Computer-based Analysis of Health Data using Stata

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

Biostatistics and Computer-based Analysis of Health Data Using SAS

Biostatistics and Computer-based Analysis of Health Data Using SAS
  • Author : Christophe Lalanne,Mounir Mesbah
  • Publisher : Elsevier
  • Release : 22 June 2017
GET THIS BOOKBiostatistics and Computer-based Analysis of Health Data Using SAS

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

Biostatistics and Computer-based Analysis of Health Data using R

Biostatistics and Computer-based Analysis of Health Data using R
  • Author : Christophe Lalanne,Mounir Mesbah
  • Publisher : Elsevier
  • Release : 13 July 2016
GET THIS BOOKBiostatistics and Computer-based Analysis of Health Data using R

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

Analysis in Nutrition Research

Analysis in Nutrition Research
  • Author : George Pounis
  • Publisher : Academic Press
  • Release : 19 October 2018
GET THIS BOOKAnalysis in Nutrition Research

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

Biostatistics in Public Health Using STATA

Biostatistics in Public Health Using STATA
  • Author : Erick L. Suárez,Cynthia M. Pérez,Graciela M. Nogueras,Camille Moreno-Gorrín
  • Publisher : CRC Press
  • Release : 24 March 2016
GET THIS BOOKBiostatistics in Public Health Using STATA

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, Fourth Edition

An Introduction to Stata for Health Researchers, Fourth Edition
  • Author : Svend Juul,Morten Frydenberg
  • Publisher : Stata Press
  • Release : 21 March 2014
GET THIS BOOKAn Introduction to Stata for Health Researchers, Fourth Edition

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

Statistical Analysis of Questionnaires

Statistical Analysis of Questionnaires
  • Author : Francesco Bartolucci,Silvia Bacci,Michela Gnaldi
  • Publisher : CRC Press
  • Release : 23 July 2015
GET THIS BOOKStatistical Analysis of Questionnaires

Statistical Analysis of Questionnaires: A Unified Approach Based on R and Stata presents special statistical methods for analyzing data collected by questionnaires. The book takes an applied approach to testing and measurement tasks, mirroring the growing use of statistical methods and software in education, psychology, sociology, and other fields.

Handbook of Statistical Analyses Using Stata

Handbook of Statistical Analyses Using Stata
  • Author : Brian S. Everitt,Sophia Rabe-Hesketh
  • Publisher : CRC Press
  • Release : 15 November 2006
GET THIS BOOKHandbook of Statistical Analyses Using Stata

With each new release of Stata, a comprehensive resource is needed to highlight the improvements as well as discuss the fundamentals of the software. Fulfilling this need, A Handbook of Statistical Analyses Using Stata, Fourth Edition has been fully updated to provide an introduction to Stata version 9. This edition covers many

Data Analysis Using Stata

Data Analysis Using Stata
  • Author : Ulrich Kohler,Frauke Kreuter
  • Publisher : Stata Press
  • Release : 15 June 2005
GET THIS BOOKData Analysis Using Stata

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.

Biostatistics for Clinical and Public Health Research

Biostatistics for Clinical and Public Health Research
  • Author : Melody S. Goodman
  • Publisher : Routledge
  • Release : 14 December 2017
GET THIS BOOKBiostatistics for Clinical and Public Health Research

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

Statistical Analysis of Human Growth and Development

Statistical Analysis of Human Growth and Development
  • Author : Yin Bun Cheung
  • Publisher : CRC Press
  • Release : 28 October 2013
GET THIS BOOKStatistical Analysis of Human Growth and Development

Statistical Analysis of Human Growth and Development is an accessible and practical guide to a wide range of basic and advanced statistical methods that are useful for studying human growth and development. Designed for nonstatisticians and statisticians new to the analysis of growth and development data, the book collects methods scattered through

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Agricultural Statistical Data Analysis Using Stata
  • Author : George Boyhan
  • Publisher : CRC Press
  • Release : 04 June 2013
GET THIS BOOKAgricultural Statistical Data Analysis Using Stata

Practical statistics is a powerful tool used frequently by agricultural researchers and graduate students involved in investigating experimental design and analysis. One of the most widely used statistical analysis software packages for this purpose is Stata. The Stata software program has matured into a user-friendly environment with a wide variet

Applied Categorical and Count Data Analysis

Applied Categorical and Count Data Analysis
  • Author : Wan Tang,Hua He,Xin M. Tu
  • Publisher : CRC Press
  • Release : 04 June 2012
GET THIS BOOKApplied Categorical and Count Data Analysis

Developed from the authors’ graduate-level biostatistics course, Applied Categorical and Count Data Analysis explains how to perform the statistical analysis of discrete data, including categorical and count outcomes. The authors describe the basic ideas underlying each concept, model, and approach to give readers a good grasp of the fundamentals of the methodology without using rigorous mathematical arguments. The text covers classic concepts and popular topics, such as contingency tables, logistic models, and Poisson regression models, along with modern areas that

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Biostatistics for Medical and Biomedical Practitioners
  • Author : Julien I. E. Hoffman
  • Publisher : Academic Press
  • Release : 19 March 2019
GET THIS BOOKBiostatistics for Medical and Biomedical Practitioners

Basic Biostatistics for Medical and Biomedical Practitioners, Second Edition makes it easier to plan experiments, with an emphasis on sample size. It also shows what choices are available when simple tests are unsuitable and offers investigators an overview of how the kinds of complex tests that they won't do on their own work. The second edition presents a new, revised and enhanced version of the chapters, taking into consideration new developments and tools available, discussing topics, such as the basic

Applied Biostatistical Principles and Concepts

Applied Biostatistical Principles and Concepts
  • Author : Laurens Holmes, Jr.
  • Publisher : Routledge
  • Release : 22 November 2017
GET THIS BOOKApplied Biostatistical Principles and Concepts

The past three decades have witnessed modern advances in statistical modeling and evidence discovery in biomedical, clinical, and population-based research. With these advances come the challenges in accurate model stipulation and application of models in scientific evidence discovery Applied Biostatistical Principles and Concepts provides practical knowledge using biological and biochemical specimen/samples in order to understand health and disease processes at cellular, clinical, and population levels. Concepts and techniques provided will help researchers design and conduct studies, then translate data