Biostatistics and Computer based Analysis of Health Data using R

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  • Author : Christophe Lalanne
  • Publisher : Elsevier
  • Pages : 206 pages
  • ISBN : 008101175X
  • Rating : /5 from reviews
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Download or Read online Biostatistics and Computer based Analysis of Health Data using R full in PDF, ePub and kindle. this book written by Christophe Lalanne and published by Elsevier which was released on 13 July 2016 with total page 206 pages. We cannot guarantee that Biostatistics and Computer based Analysis of Health Data using R book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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

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 BOOK Biostatistics 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

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 BOOK Biostatistics 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 Stata

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

Analysis in Nutrition Research

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

Introduction to Data Analysis and Graphical Presentation in Biostatistics with R

Introduction to Data Analysis and Graphical Presentation in Biostatistics with R
  • Author : Thomas W. MacFarland
  • Publisher : Springer
  • Release : 29 November 2013
GET THIS BOOK Introduction to Data Analysis and Graphical Presentation in Biostatistics with R

Through real-world datasets, this book shows the reader how to work with material in biostatistics using the open source software R. These include tools that are critical to dealing with missing data, which is a pressing scientific issue for those engaged in biostatistics. Readers will be equipped to run analyses and make graphical presentations based on the sample dataset and their own data. The hands-on approach will benefit students and ensure the accessibility of this book for readers with a

Biostatistics for Epidemiology and Public Health Using R

Biostatistics for Epidemiology and Public Health Using R
  • Author : Bertram K.C. Chan, PhD
  • Publisher : Springer Publishing Company
  • Release : 05 November 2015
GET THIS BOOK Biostatistics for Epidemiology and Public Health Using R

Since it first appeared in 1996, the open-source programming language R has become increasingly popular as an environment for statistical analysis and graphical output. This is the first textbook to present classical biostatistical analysis for epidemiology and related public health sciences to students using the R language. Based on the assumption that readers have minimal familiarity with statistical concepts, the author uses a step-by-step approach to building skills. The text encompasses biostatistics from basic descriptive and quantitative statistics to survival analysis

Applied Statistical Genetics with R

Applied Statistical Genetics with R
  • Author : Andrea S. Foulkes
  • Publisher : Springer Science & Business Media
  • Release : 28 April 2009
GET THIS BOOK Applied Statistical Genetics with R

Statistical genetics has become a core course in many graduate programs in public health and medicine. This book presents fundamental concepts and principles in this emerging field at a level that is accessible to students and researchers with a first course in biostatistics. Extensive examples are provided using publicly available data and the open source, statistical computing environment, R.

Applied Compositional Data Analysis

Applied Compositional Data Analysis
  • Author : Peter Filzmoser,Karel Hron,Matthias Templ
  • Publisher : Springer
  • Release : 03 November 2018
GET THIS BOOK Applied Compositional Data Analysis

This book presents the statistical analysis of compositional data using the log-ratio approach. It includes a wide range of classical and robust statistical methods adapted for compositional data analysis, such as supervised and unsupervised methods like PCA, correlation analysis, classification and regression. In addition, it considers special data structures like high-dimensional compositions and compositional tables. The methodology introduced is also frequently compared to methods which ignore the specific nature of compositional data. It focuses on practical aspects of compositional data

Biostatistics for Human Genetic Epidemiology

Biostatistics for Human Genetic Epidemiology
  • Author : Bertram K. C. Chan
  • Publisher : Springer
  • Release : 24 October 2018
GET THIS BOOK Biostatistics for Human Genetic Epidemiology

The book illustrates how biostatistics may numerically summarize human genetic epidemiology using R, and may be used successfully to solve problems in quantitative Genetic Epidemiology Biostatistics for Human Genetic Epidemiology provides statistical methodologies and R recipes for human genetic epidemiologic problems. It begins by introducing all the necessary probabilistic and statistical foundations, before moving on to topics related human genetic epidemiology, with R codes illustrations for various examples. This clear and concise book covers human genetic epidemiology, using R in

Statistical Analysis of Microbiome Data with R

Statistical Analysis of Microbiome Data with R
  • Author : Yinglin Xia,Jun Sun,Ding-Geng Chen
  • Publisher : Springer
  • Release : 06 October 2018
GET THIS BOOK Statistical Analysis of Microbiome Data with R

This unique book addresses the statistical modelling and analysis of microbiome data using cutting-edge R software. It includes real-world data from the authors’ research and from the public domain, and discusses the implementation of R for data analysis step by step. The data and R computer programs are publicly available, allowing readers to replicate the model development and data analysis presented in each chapter, so that these new methods can be readily applied in their own research. The book also