mendelian randomization methods for using genetic variants in causal estimation chapman hall crc interdisciplinary statistics

Download Book Mendelian Randomization Methods For Using Genetic Variants In Causal Estimation Chapman Hall Crc Interdisciplinary Statistics in PDF format. You can Read Online Mendelian Randomization Methods For Using Genetic Variants In Causal Estimation Chapman Hall Crc Interdisciplinary Statistics here in PDF, EPUB, Mobi or Docx formats.

Mendelian Randomization

Author : Stephen Burgess
ISBN : 9781466573185
Genre : Mathematics
File Size : 52. 68 MB
Format : PDF, ePub
Download : 760
Read : 1298

Get This Book


Presents the Terminology and Methods of Mendelian Randomization for Epidemiological Studies Mendelian randomization uses genetic instrumental variables to make inferences about causal effects based on observational data. It, therefore, can be a reliable way of assessing the causal nature of risk factors, such as biomarkers, for a wide range of disease outcomes. Mendelian Randomization: Methods for Using Genetic Variants in Causal Estimation provides thorough coverage of the methods and practical elements of Mendelian randomization analysis. It brings together diverse aspects of Mendelian randomization spanning epidemiology, statistics, genetics, and econometrics. Although the book mainly focuses on epidemiology, much of the material can be applied to other areas of research. Through several examples, the first part of the book shows how to perform simple applied Mendelian randomization analyses and interpret their results. The second part addresses specific methodological issues, such as weak instruments, multiple instruments, power calculations, and meta-analysis, relevant to practical applications of Mendelian randomization. In this part, the authors draw on data from the C-reactive protein Coronary heart disease Genetics Collaboration (CCGC) to illustrate the analyses. They present the mathematics in an easy-to-understand way by using nontechnical language and reinforcing key points at the end of each chapter. The last part of the book examines the potential of Mendelian randomization in the future, exploring both methodological and applied developments. This book gives statisticians, epidemiologists, and geneticists the foundation to understand issues concerning the use of genetic variants as instrumental variables. It will get them up to speed in undertaking and interpreting Mendelian randomization analyses. Chapter summaries, paper summaries, web-based applications, and software code for implementing the statistical techniques are available on a supplementary website.

Handbook Of Statistical Systems Biology

Author : Michael Stumpf
ISBN : 9781119952046
Genre : Science
File Size : 33. 2 MB
Format : PDF, Mobi
Download : 879
Read : 1024

Get This Book


Systems Biology is now entering a mature phase in which the key issues are characterising uncertainty and stochastic effects in mathematical models of biological systems. The area is moving towards a full statistical analysis and probabilistic reasoning over the inferences that can be made from mathematical models. This handbook presents a comprehensive guide to the discipline for practitioners and educators, in providing a full and detailed treatment of these important and emerging subjects. Leading experts in systems biology and statistics have come together to provide insight in to the major ideas in the field, and in particular methods of specifying and fitting models, and estimating the unknown parameters. This book: Provides a comprehensive account of inference techniques in systems biology. Introduces classical and Bayesian statistical methods for complex systems. Explores networks and graphical modeling as well as a wide range of statistical models for dynamical systems. Discusses various applications for statistical systems biology, such as gene regulation and signal transduction. Features statistical data analysis on numerous technologies, including metabolic and transcriptomic technologies. Presents an in-depth presentation of reverse engineering approaches. Provides colour illustrations to explain key concepts. This handbook will be a key resource for researchers practising systems biology, and those requiring a comprehensive overview of this important field.

Principles Of Plant Genetics And Breeding

Author : George Acquaah
ISBN : 9781118313695
Genre : Science
File Size : 39. 3 MB
Format : PDF, Kindle
Download : 307
Read : 466

Get This Book


To respond to the increasing need to feed the world's population as well as an ever greater demand for a balanced and healthy diet there is a continuing need to produce improved new cultivars or varieties of plants, particularly crop plants. The strategies used to produce these are increasingly based on our knowledge of relevant science, particularly genetics, but involves a multidisciplinary understanding that optimizes the approaches taken. Principles of Plant Genetics and Breeding, 2nd Edition introduces both classical and molecular tools for plant breeding. Topics such as biotechnology in plant breeding, intellectual property, risks, emerging concepts (decentralized breeding, organic breeding), and more are addressed in the new, updated edition of this text. Industry highlight boxes are included throughout the text to contextualize the information given through the professional experiences of plant breeders. The final chapters provide a useful reference on breeding the largest and most common crops. Up-to-date edition of this bestselling book incorporating the most recent technologies in the field Combines both theory and practice in modern plant breeding Updated industry highlights help to illustrate the concepts outlined in the text Self assessment questions at the end of each chapter aid student learning Accompanying website with artwork from the book available to instructors

Applied Directional Statistics

Author : Christophe Ley
ISBN : 9781351856522
Genre : Mathematics
File Size : 29. 69 MB
Format : PDF, ePub, Mobi
Download : 289
Read : 213

Get This Book


This book collects important advances in methodology and data analysis for directional statistics. It is the companion book of the more theoretical treatment presented in Modern Directional Statistics (CRC Press, 2017). The field of directional statistics has received a lot of attention due to demands from disciplines such as life sciences or machine learning, the availability of massive data sets requiring adapted statistical techniques, and technological advances. This book covers important progress in bioinformatics, biology, astrophysics, oceanography, environmental sciences, earth sciences, machine learning and social sciences.

Compositional Data Analysis In Practice

Author : Michael Greenacre
ISBN : 9780429849015
Genre : Business & Economics
File Size : 76. 89 MB
Format : PDF, Kindle
Download : 864
Read : 597

Get This Book


Compositional Data Analysis in Practice is a user-oriented practical guide to the analysis of data with the property of a constant sum, for example percentages adding up to 100%. Compositional data can give misleading results if regular statistical methods are applied, and are best analysed by first transforming them to logarithms of ratios. This book explains how this transformation affects the analysis, results and interpretation of this very special type of data. All aspects of compositional data analysis are considered: visualization, modelling, dimension-reduction, clustering and variable selection, with many examples in the fields of food science, archaeology, sociology and biochemistry, and a final chapter containing a complete case study using fatty acid compositions in ecology. The applicability of these methods extends to other fields such as linguistics, geochemistry, marketing, economics and finance. A unique didactic format, where each chapter has exactly eight pages of study material, many illustrative figures, and an end-of-chapter summary An approach aimed at students and applied researchers, gathering the mathematical aspects in a compact theoretical appendix Numerous examples from a variety of disciplines A computational appendix?that documents the easyCODA package for R developed by the author, making it possible for readers to reproduce the results A supporting website with data sets, R scripts and further study material

Application Of Physiology In Wheat Breeding

Author : M. P. Reynolds
ISBN : 9789706480774
Genre : Physiology
File Size : 76. 87 MB
Format : PDF
Download : 431
Read : 826

Get This Book



Statistical Methods For Microarray Data Analysis

Author : Andrei Y. Yakovlev
ISBN : 1603273360
Genre : Medical
File Size : 58. 51 MB
Format : PDF, Kindle
Download : 652
Read : 874

Get This Book


Microarrays for simultaneous measurement of redundancy of RNA species are used in fundamental biology as well as in medical research. Statistically,a microarray may be considered as an observation of very high dimensionality equal to the number of expression levels measured on it. In Statistical Methods for Microarray Data Analysis: Methods and Protocols, expert researchers in the field detail many methods and techniques used to study microarrays, guiding the reader from microarray technology to statistical problems of specific multivariate data analysis. Written in the highly successful Methods in Molecular BiologyTM series format, the chapters include the kind of detailed description and implementation advice that is crucial for getting optimal results in the laboratory. Thorough and intuitive, Statistical Methods for Microarray Data Analysis: Methods and Protocols aids scientists in continuing to study microarrays and the most current statistical methods.

Breeding Field Crops

Author : John M. Poehlman
ISBN : 9789401572712
Genre : Science
File Size : 60. 8 MB
Format : PDF
Download : 319
Read : 404

Get This Book


While preparing the first edition of this textbook I attended an extension short course on writing agricultural publications. The message I remember was "select your audience and write to it. " There has never been any doubt about the audience for which this textbook was written, the introductory course in crop breeding. In addition, it has become a widely used reference for the graduate plant-breeding student and the practicing plant breeder. In its prepa ration, particular attention has been given to advances in plant-breeding theo ry and their utility in plant-breeding practice. The blend of the theoretical with the practical has set this book apart from other plant-breeding textbooks. The basic structure and the objectives of the earlier editions remain un changed. These objectives are (1) to review essential features of plant re production, Mendelian genetic principles, and related genetic developments applicable in plant-breeding practice; (2) to describe and evaluate established and new plant-breeding procedures and techniques, and (3) to discuss plant breeding objectives with emphasis on the importance of proper choice of objec tive for achieving success in variety development. Because plant-breeding activities are normally organized around specific crops, there are chapters describing breeding procedures and objectives for the major crop plants; the crops were chosen for their economic importance or diversity in breeding sys tems. These chapters provide a broad overview of the kinds of problems with which the breeder must cope.

The Metabolic Ghetto

Author : Jonathan Wells
ISBN : 9781107009479
Genre : Business & Economics
File Size : 78. 12 MB
Format : PDF
Download : 780
Read : 478

Get This Book


A multidisciplinary analysis of the role of nutrition in generating hierarchical societies and cultivating a global epidemic of chronic diseases.

Bayesian Disease Mapping

Author : Andrew B. Lawson
ISBN : 9781351271745
Genre : Mathematics
File Size : 59. 27 MB
Format : PDF, ePub, Docs
Download : 375
Read : 822

Get This Book


Since the publication of the second edition, many new Bayesian tools and methods have been developed for space-time data analysis, the predictive modeling of health outcomes, and other spatial biostatistical areas. Exploring these new developments, Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology, Third Edition provides an up-to-date, cohesive account of the full range of Bayesian disease mapping methods and applications. In addition to the new material, the book also covers more conventional areas such as relative risk estimation, clustering, spatial survival analysis, and longitudinal analysis. After an introduction to Bayesian inference, computation, and model assessment, the text focuses on important themes, including disease map reconstruction, cluster detection, regression and ecological analysis, putative hazard modeling, analysis of multiple scales and multiple diseases, spatial survival and longitudinal studies, spatiotemporal methods, and map surveillance. It shows how Bayesian disease mapping can yield significant insights into georeferenced health data. The target audience for this text is public health specialists, epidemiologists, and biostatisticians who need to work with geo-referenced health data.

Top Download:

Best Books