[Download] The Fundamentals of Modern Statistical Genetics (Statistics for Biology and Health) de Nan M. Laird libros ebooks
Descargar The Fundamentals of Modern Statistical Genetics (Statistics for Biology and Health) de Nan M. Laird Ebooks, PDF, ePub, The Fundamentals of Modern Statistical Genetics (Statistics for Biology and Health) Descarga gratuita
The Fundamentals of Modern Statistical Genetics (Statistics for Biology and Health) de Nan M. Laird
Descripción - Críticas From the reviews:“The book covers the historical perspective, covering the standard models and methods. … The presentation of the material is carefully thought through. There are lots of figures, many in colour, a large number of examples, numerous boxes that highlight particular derivations and computations, and exercises at the ends of the chapters. All topics are clearly discussed with due detail. I would say that, for the budding statistical geneticist, this is a must-have.” (Martin Crowder, International Statistical Review, Vol. 79 (3), 2011)“A book that focuses on statistical methods for finding links between genes and diseases … is timely. … the authors steer us gently and diligently through material that was developed originally for postgraduate students at the Harvard School of Public Health … . ideal for a statistician intending to research in this area or simply for a curious, sufficiently qualified reader. … a lovely book, and essential reading if you are a budding GWASer, or simply interested in where your next disease will come from.” (G. Wood, Australian & New Zealand Journal of Statistics, Vol. 53 (4), 2011)“The Fundamentals of Modern Statistical Genetics, by Dr. Nan M. Laird and Dr. Christoph Lange, is a timely reference for both researchers and students. … the book is clearly written, and it is useful for colleagues who are interested in the association analysis. Although the book primarily covers the interesting topic of association analysis, it does touch other interesting topics such as joint linkage and association mapping of complex traits.” (Ruzong Fan, Journal of the American Statistical Association, March, 2013) Reseña del editor This book offers statistical models and methods used to understand human genetics, focusing on modern approaches to association analysis. Numerous examples illustrate key points, and the text includes exercises for students with a broad range of skill levels. Contraportada This book covers the statistical models and methods that are used to understand human genetics, following the historical and recent developments of human genetics. Starting with Mendel’s first experiments to genome-wide association studies, the book describes how genetic information can be incorporated into statistical models to discover disease genes. All commonly used approaches in statistical genetics (e.g. aggregation analysis, segregation, linkage analysis, etc), are used, but the focus of the book is modern approaches to association analysis. Numerous examples illustrate key points throughout the text, both of Mendelian and complex genetic disorders. The intended audience is statisticians, biostatisticians, epidemiologists and quantitatively- oriented geneticists and health scientists wanting to learn about statistical methods for genetic analysis, whether to better analyze genetic data, or to pursue research in methodology. A background in intermediate level statistical methods is required. The authors include few mathematical derivations, and the exercises provide problems for students with a broad range of skill levels. No background in genetics is assumed. Dr. Laird is a Professor of Biostatistics in the Biostatistics Department at the Harvard School of Public Health. Dr. Laird has contributed to methodology in many different fields, including missing data, EM-algorithm, meta-analysis, statistical genetics, and has coauthored a book with Garrett Fitzmaurice and James Ware on Applied Longitudinal Analysis. She is the recipient of many awards and prizes, including Fellow of the American Statistical Association, the American Association for the Advancement of Science, the Florence Nightingale Award, and the Janet Norwood Award. Dr. Lange is an Associate Professor in the Biostatistics Department at the Harvard School of Public Health. After his PhD in Statistics at the University of Reading (UK), he has worked extensively in the field of statistical genetics. Dr. Lange has been the director of the Institute of Genome Mathematics at the University of Bonn and has received several awards in mathematics and genetics. Dr. Lange is the developer of the PBAT package. Biografía del autor Dr. Laird is a Professor of Biostatistics in the Biostatistics Department at the Harvard School of Public Health. Dr. Laird has contributed to methodology in many different fields, including missing data, EM-algorithm, meta-analysis, statistical genetics, and has coauthored a book with Garrett Fitzmaurice and James Ware on Applied Longitudinal Analysis. She is the recipient of many awards and prizes, including Fellow of the American Statistical Association, the American Association for the Advancement of Science, the Florence Nightingale Award, and the Janet Norwood Award. Dr. Lange is an Associate Professor in the Biostatistics Department at the Harvard School of Public Health. After his PhD in Statistics at the University of Reading (UK), he has worked extensively in the field of statistical genetics. Dr. Lange has been the director of the Institute of Genome Mathematics at the University of Bonn and has received several awards in mathematics and genetics. Dr. Lange is the developer of the PBAT package.
The fundamentals of modern statistical genetics springerlink this book covers the statistical models and methods that are used to understand human genetics, following the historical and recent developments of human genetics starting with mendels first experim The fundamentals of modern statistical genetics nan m the fundamentals of modern statistical genetics, by dr nan m laird and dr christoph lange, is a timely reference for both researchers and students the book is clearly written, and it is useful for colleagues who are interested in the association analysis The fundamentals of modern statistical genetics the fundamentals of modern statistical genetics nan m laird christoph lange nm laird, c lange, the fundamentals of modern statistical genetics, doi 1010079781441973382 c springer sciencebusiness media, llc 2011 doi 97814419733821 the publisher regrets that the print and online version of the book contain some errors and the
The fundamentals of modern statistical genetics ebook get this from a library the fundamentals of modern statistical genetics nan m laird christoph lange, biologist this book covers the statistical models and methods that are used to understand human genetics, following the historical and recent developments of human genetics starting with mendels first Sem fundamentals of modern statistical genetics 20142015 statistics in human genetics and molecular biology chapman amp hallcrc texts in statistical science 2 foulkes, as 2009 applied statistical genetics with r for populationbased association studies springer use r slides will be made available to the students before each lecture Search and free download a billion ebook pdf files billboard tutorial metallic electrical box in fire rated walls misery longman misery logman oxford english book class 7 abc of chemistry class 11 pdf free le bonheur dans tous ses états packaging tutorial physical and health education for primary 4 lime computation fish ponds plant anatomy by pijush roy free pdf dowload the honest truth about dishonest vinyl cutter tutorial mastering the bds
Detalles del Libro
- Name: The Fundamentals of Modern Statistical Genetics (Statistics for Biology and Health)
- Autor: Nan M. Laird
- Categoria: Libros,Libros universitarios y de estudios superiores,Medicina y ciencias de la salud
- Tamaño del archivo: 17 MB
- Tipos de archivo: PDF Document
- Idioma: Español
- Archivos de estado: AVAILABLE
[Download] The Fundamentals of Modern Statistical Genetics (Statistics for Biology and Health) de Nan M. Laird Ebooks, PDF, ePub
Cinii 図書 the fundamentals of modern statistical genetics the fundamentals of modern statistical genetics nan m laird, christoph lange statistics for biology and health springer, c2011 hbk The fundamentals of modern statistical genetics book isbn 9781441973375 1441973370 9781441973382 1441973389 oclc number 648933382 description xiv, 223 pages illustrations 24 cm contents introduction to statistical genetics and background in molecular genetics principles of inheritance mendels laws and genetic models some basic concepts from population genetics aggregation, heritability and segregation analysis modeling The fundamentals of modern statistical genetics medical the fundamentals of modern statistical genetics statistics for biology and health this book covers the statistical models and methods that are used to understand human genetics, following the historical and recent developments of human genetics medical books the fundamentals of modern statistical genetics
The fundamentals of modern statistical genetics nhbs biography dr laird is a professor of biostatistics in the biostatistics department at the harvard school of public health dr laird has contributed to methodology in many different fields, including missing data, emalgorithm, metaanalysis, statistical genetics, and has coauthored a book with garrett fitzmaurice and james ware on applied longitudinal analysis The fundamentals of modern statistical genetics the fundamentals of modern statistical genetics statistics for biology and health kindle edition by laird, nan m, lange, christoph download it once and read it on your kindle device, pc, phones or tablets use features like bookmarks, note taking and highlighting while reading the fundamentals of modern statistical genetics statistics for biology and health The fundamentals of modern statistical genetics springer springer, this book covers the statistical models and methods that are used to understand human genetics, following the historical and recent developments of human genetics starting with mendels first experiments to genomewide association studies, the book describes how genetic information can be incorporated into statistical models to discover disease genes
Comments
Post a Comment