Pedigree Analysis in R Books

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Pedigree Analysis in R


Pedigree Analysis in R
  • Author : Magnus Dehli Vigeland
  • Publisher : Academic Press
  • Release : 2021-05-06
  • ISBN : 9780128245606
  • Language : En, Es, Fr & De
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Pedigree Analysis in R gives an introduction to the theory of relatedness and covers a range of applications in forensic and medical genetics. The book's material was developed through teaching courses on genetic relatedness, pedigree analysis and R, and offers insights from a decade of research activities in forensic and medical genetics. The R code in the book uses the ped suite, a unified collection of packages for pedigree analysis, developed by the author. All code examples are given in full, allowing accurate reproduction of figures and results. At the end of each chapter, a selection of exercises encourages the reader to explore further and perform their own analyses. Introduction to the theory of genetic relatedness, richly illustrated with classic and novel examples In-depth case studies including kinship testing, pedigree reconstruction, linkage analysis and clinical segregation analysis Easy-to-follow R code with explanations Based on the ped suite packages for pedigree analysis in R Suitable for R users at all levels, including complete beginners Exercises after each chapter

An Introduction to Data Analysis in R


An Introduction to Data Analysis in R
  • Author : Alfonso Zamora Saiz
  • Publisher : Springer Nature
  • Release : 2020-07-27
  • ISBN : 9783030489977
  • Language : En, Es, Fr & De
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This textbook offers an easy-to-follow, practical guide to modern data analysis using the programming language R. The chapters cover topics such as the fundamentals of programming in R, data collection and preprocessing, including web scraping, data visualization, and statistical methods, including multivariate analysis, and feature exercises at the end of each section. The text requires only basic statistics skills, as it strikes a balance between statistical and mathematical understanding and implementation in R, with a special emphasis on reproducible examples and real-world applications. This textbook is primarily intended for undergraduate students of mathematics, statistics, physics, economics, finance and business who are pursuing a career in data analytics. It will be equally valuable for master students of data science and industry professionals who want to conduct data analyses.

Genetic Epidemiology


Genetic Epidemiology
  • Author : Newton Ennis Morton
  • Publisher :
  • Release : 1978
  • ISBN : UOM:39015000837362
  • Language : En, Es, Fr & De
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Analysis of Correlated Data with SAS and R


Analysis of Correlated Data with SAS and R
  • Author : Mohamed M. Shoukri
  • Publisher : CRC Press
  • Release : 2018-04-27
  • ISBN : 9781315277714
  • Language : En, Es, Fr & De
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Analysis of Correlated Data with SAS and R: 4th edition presents an applied treatment of recently developed statistical models and methods for the analysis of hierarchical binary, count and continuous response data. It explains how to use procedures in SAS and packages in R for exploring data, fitting appropriate models, presenting programming codes and results. The book is designed for senior undergraduate and graduate students in the health sciences, epidemiology, statistics, and biostatistics as well as clinical researchers, and consulting statisticians who can apply the methods with their own data analyses. In each chapter a brief description of the foundations of statistical theory needed to understand the methods is given, thereafter the author illustrates the applicability of the techniques by providing sufficient number of examples. The last three chapters of the 4th edition contain introductory material on propensity score analysis, meta-analysis and the treatment of missing data using SAS and R. These topics were not covered in previous editions. The main reason is that there is an increasing demand by clinical researchers to have these topics covered at a reasonably understandable level of complexity. Mohamed Shoukri is principal scientist and professor of biostatistics at The National Biotechnology Center, King Faisal Specialist Hospital and Research Center and Al-Faisal University, Saudi Arabia. Professor Shoukri’s research includes analytic epidemiology, analysis of hierarchical data, and clinical biostatistics. He is an associate editor of the 3Biotech journal, a Fellow of the Royal Statistical Society and an elected member of the International Statistical Institute.

German Medical Data Sciences A Learning Healthcare System


German Medical Data Sciences  A Learning Healthcare System
  • Author : U. Hübner
  • Publisher : IOS Press
  • Release : 2018-09-06
  • ISBN : 9781614998969
  • Language : En, Es, Fr & De
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Advances in digital and information technology have meant that medical informatics and its associated fields are of ever-increasing importance in the modern healthcare environment. This book presents selected papers from the 63rd annual conference of the German Society of Medical Information Sciences, Biometry, and Epidemiology, GMDS 2018, held in Osnabrück, Germany, in September 2018. The society encompasses not only medical informatics, biometry and epidemiology, but also medical bioinformatics, systems biology and health data management. The title of this year’s conference is “The Learning Health System: Research Based, Innovative, Connecting”, and 38 full papers of the 164 oral presentations and 65 posters delivered at the conference are included here. A wide variety of scientific topics are covered, including standards to enable the interoperable interchange of information; metadata management; record linkage; IT issues for health care networks; interprofessional teaching and training; eHealth legislation; analysis of miRNAs and RNA-Seq data, among others. The contributors are all specialists in their field, and this book disseminates some of the innovative ideas which are urgently needed to meet the challenges facing a constantly developing digital healthcare environment.