Statistics In Genetics And In The Environmental Sciences

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Statistics in Genetics and in the Environmental Sciences

Author : Luisa T. Fernholz
Publisher : Birkhäuser
ISBN 13 : 3034883269
Total Pages : 189 pages
Book Rating : 4.0/5 (348 download)

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Book Synopsis Statistics in Genetics and in the Environmental Sciences by : Luisa T. Fernholz

Download or read book Statistics in Genetics and in the Environmental Sciences written by Luisa T. Fernholz and published by Birkhäuser. This book was released on 2012-12-06 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistics is strongly tied to applications in different scientific disciplines, and the most challenging statistical problems arise from problems in the sciences. In fact, the most innovative statistical research flows from the needs of applications in diverse settings. This volume is a testimony to the crucial role that statistics plays in scientific disciplines such as genetics and environmental sciences, among others. The articles in this volume range from human and agricultural genetic DNA research to carcinogens and chemical concentrations in the environment and to space debris and atmospheric chemistry. Also included are some articles on statistical methods which are sufficiently general and flexible to be applied to many practical situations. The papers were refereed by a panel of experts and the editors of the volume. The contributions are based on the talks presented at the Workshop on Statistics and the Sciences, held at the Centro Stefano Franscini in Ascona, Switzerland, during the week of May 23 to 28, 1999. The meeting was jointly organized by the Swiss Federal Institutes of Technology in Lausanne and Zurich, with the financial support of the Minerva Research Foundation. As the presentations at the workshop helped the participants recognize the po tential role that statistics can play in the sciences, we hope that this volume will help the reader to focus on the central role of statistics in the specific areas presented here and to extrapolate the results to further applications.

Statistics in Genetics and in the Environmental Sciences

Author : Luisa Turrin Fernholz
Publisher :
ISBN 13 : 9780817665753
Total Pages : 183 pages
Book Rating : 4.6/5 (657 download)

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Book Synopsis Statistics in Genetics and in the Environmental Sciences by : Luisa Turrin Fernholz

Download or read book Statistics in Genetics and in the Environmental Sciences written by Luisa Turrin Fernholz and published by . This book was released on 2001 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book grew out of a workshop on statistics in the sciences held on Monte VeritA, Switzerland, in the spring of 1999. It offers a snapshot of the role played by statistics in genetics and in the environmental sciences. A few papers dwell on genetic topics, others deal with risk assessment, in particular involving exposure to chemicals. Pollution is addressed in a survey of problems relating to atmospheric chemistry, and in an article on space debris. The collection finally presents several contributions on modern statistical methods in the sciences.The book will be particularly useful for statisticians who wish to be informed about the use of their methods in the sciences. They will also find a variety of open problems with explanations and solutions. On the other hand, the book does not require a high degree of expertise in statistics and can, on the whole, be read profitably by researchers in genetics and environmetrics.

Statistical Methods in Genetic Epidemiology

Author : Duncan C. Thomas
Publisher : Oxford University Press
ISBN 13 : 0199748055
Total Pages : 458 pages
Book Rating : 4.1/5 (997 download)

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Book Synopsis Statistical Methods in Genetic Epidemiology by : Duncan C. Thomas

Download or read book Statistical Methods in Genetic Epidemiology written by Duncan C. Thomas and published by Oxford University Press. This book was released on 2004-01-29 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: This well-organized and clearly written text has a unique focus on methods of identifying the joint effects of genes and environment on disease patterns. It follows the natural sequence of research, taking readers through the study designs and statistical analysis techniques for determining whether a trait runs in families, testing hypotheses about whether a familial tendency is due to genetic or environmental factors or both, estimating the parameters of a genetic model, localizing and ultimately isolating the responsible genes, and finally characterizing their effects in the population. Examples from the literature on the genetic epidemiology of breast and colorectal cancer, among other diseases, illustrate this process. Although the book is oriented primarily towards graduate students in epidemiology, biostatistics and human genetics, it will also serve as a comprehensive reference work for researchers. Introductory chapters on molecular biology, Mendelian genetics, epidemiology, statistics, and population genetics will help make the book accessible to those coming from one of these fields without a background in the others. It strikes a good balance between epidemiologic study designs and statistical methods of data analysis.

The Fundamentals of Modern Statistical Genetics

Author : Nan M. Laird
Publisher : Springer Science & Business Media
ISBN 13 : 1441973389
Total Pages : 226 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis The Fundamentals of Modern Statistical Genetics by : Nan M. Laird

Download or read book The Fundamentals of Modern Statistical Genetics written by Nan M. Laird and published by Springer Science & Business Media. This book was released on 2010-12-13 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Statistics for Environmental Biology and Toxicology

Author : A. John Bailer
Publisher : CRC Press
ISBN 13 : 9780412047312
Total Pages : 600 pages
Book Rating : 4.0/5 (473 download)

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Book Synopsis Statistics for Environmental Biology and Toxicology by : A. John Bailer

Download or read book Statistics for Environmental Biology and Toxicology written by A. John Bailer and published by CRC Press. This book was released on 1997-07-01 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistics for Environmental Biology and Toxicology presents and illustrates statistical methods appropriate for the analysis of environmental data obtained in biological or toxicological experiments. Beginning with basic probability and statistical inferences, this text progresses through non-linear and generalized linear models, trend testing, time-to-event data and analysis of cross-classified tabular and categorical data. For the more complex analyses, extensive examples including SAS and S-PLUS programming code are provided to assist the reader when implementing the methods in practice.

Introduction to Statistical Methods in Modern Genetics

Author : M.C. Yang
Publisher : CRC Press
ISBN 13 : 9789056991340
Total Pages : 264 pages
Book Rating : 4.9/5 (913 download)

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Book Synopsis Introduction to Statistical Methods in Modern Genetics by : M.C. Yang

Download or read book Introduction to Statistical Methods in Modern Genetics written by M.C. Yang and published by CRC Press. This book was released on 2000-02-23 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although the basic statistical theory behind modern genetics is not very difficult, most statistical genetics papers are not easy to read for beginners in the field, and formulae quickly become very tedious to fit a particular area of application. Introduction to Statistical Methods in Modern Genetics distinguishes between the necessary and unnecessary complexity in a presentation designed for graduate-level statistics students. The author keeps derivations simple, but does so without losing the mathematical details. He also provides the required background in modern genetics for those looking forward to entering this arena. Along with some of the statistical tools important in genetics applications, students will learn: How a gene is found How scientists have separated the genetic and environmental aspects of a person's intelligence How genetics are used in agriculture to improve crops and domestic animals What a DNA fingerprint is and why there are controversies about it Although the author assumes students have a foundation in basic statistics, an appendix provides the necessary background beyond the elementary, including multinomial distributions, inference on frequency tables, and discriminant analysis. With clear explanations, a multitude of figures, and exercise sets in each chapter, this text forms an outstanding entrée into the rapidly expanding world of genetic data analysis.

Statistical Methods in Environmental Epidemiology

Author : Duncan C. Thomas
Publisher : OUP Oxford
ISBN 13 : 0191552690
Total Pages : 448 pages
Book Rating : 4.1/5 (915 download)

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Book Synopsis Statistical Methods in Environmental Epidemiology by : Duncan C. Thomas

Download or read book Statistical Methods in Environmental Epidemiology written by Duncan C. Thomas and published by OUP Oxford. This book was released on 2009-02-26 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: Environmental epidemiology is the study of the environmental causes of disease in populations and how these risks vary in relation to intensity and duration of exposure and other factors like genetic susceptibility. As such, it is the basic science upon which governmental safety standards and compensation policies for environmental and occupational exposure are based. Profusely illustrated with examples from the epidemiologic literature on ionizing radiation and air pollution, this text provides a systematic treatment of the statistical challenges that arise in environmental health studies and the use epidemiologic data in formulating public policy, at a level suitable for graduate students and epidemiologic researchers. After a general overview of study design and statistical methods for epidemiology generally, the book goes on to address the problems that are unique to environmental health studies, special-purpose designs like two-phase case-control studies and countermatching, statistical methods for modeling exposure-time-response relationships, longitudinal and time-series studies, spatial and ecologic methods, exposure measurement error, interactions, and mechanistic models. It also discusses studies aimed at evaluating the public health benefits of interventions to improve the environment, the use of epidemiologic data to establish environmental safety standards and compensation policy, and concludes with emerging problems in reproductive epidemiology, natural and man-made disasters like global warming, and the global burden of environmentally caused disease. No other book provides such a broad perspective on the methodological challenges in this field at a level accessible to both epidemiologists and statisticians.

An Introduction to Statistical Genetic Data Analysis

Author : Melinda C. Mills
Publisher : MIT Press
ISBN 13 : 0262538385
Total Pages : 433 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis An Introduction to Statistical Genetic Data Analysis by : Melinda C. Mills

Download or read book An Introduction to Statistical Genetic Data Analysis written by Melinda C. Mills and published by MIT Press. This book was released on 2020-02-18 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive introduction to modern applied statistical genetic data analysis, accessible to those without a background in molecular biology or genetics. Human genetic research is now relevant beyond biology, epidemiology, and the medical sciences, with applications in such fields as psychology, psychiatry, statistics, demography, sociology, and economics. With advances in computing power, the availability of data, and new techniques, it is now possible to integrate large-scale molecular genetic information into research across a broad range of topics. This book offers the first comprehensive introduction to modern applied statistical genetic data analysis that covers theory, data preparation, and analysis of molecular genetic data, with hands-on computer exercises. It is accessible to students and researchers in any empirically oriented medical, biological, or social science discipline; a background in molecular biology or genetics is not required. The book first provides foundations for statistical genetic data analysis, including a survey of fundamental concepts, primers on statistics and human evolution, and an introduction to polygenic scores. It then covers the practicalities of working with genetic data, discussing such topics as analytical challenges and data management. Finally, the book presents applications and advanced topics, including polygenic score and gene-environment interaction applications, Mendelian Randomization and instrumental variables, and ethical issues. The software and data used in the book are freely available and can be found on the book's website.

Applied Statistical Genetics with R

Author : Andrea S. Foulkes
Publisher : Springer Science & Business Media
ISBN 13 : 038789554X
Total Pages : 264 pages
Book Rating : 4.3/5 (878 download)

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Book Synopsis Applied Statistical Genetics with R by : Andrea S. Foulkes

Download or read book Applied Statistical Genetics with R written by Andrea S. Foulkes and published by Springer Science & Business Media. This book was released on 2009-04-28 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Meta-analysis and Combining Information in Genetics and Genomics

Author : Rudy Guerra
Publisher : CRC Press
ISBN 13 : 142001062X
Total Pages : 354 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Meta-analysis and Combining Information in Genetics and Genomics by : Rudy Guerra

Download or read book Meta-analysis and Combining Information in Genetics and Genomics written by Rudy Guerra and published by CRC Press. This book was released on 2016-04-19 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: Novel Techniques for Analyzing and Combining Data from Modern Biological StudiesBroadens the Traditional Definition of Meta-AnalysisWith the diversity of data and meta-data now available, there is increased interest in analyzing multiple studies beyond statistical approaches of formal meta-analysis. Covering an extensive range of quantitative infor

Applied Statistics in Agricultural, Biological, and Environmental Sciences

Author : Barry Glaz
Publisher : John Wiley & Sons
ISBN 13 : 0891183590
Total Pages : 672 pages
Book Rating : 4.8/5 (911 download)

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Book Synopsis Applied Statistics in Agricultural, Biological, and Environmental Sciences by : Barry Glaz

Download or read book Applied Statistics in Agricultural, Biological, and Environmental Sciences written by Barry Glaz and published by John Wiley & Sons. This book was released on 2020-01-22 with total page 672 pages. Available in PDF, EPUB and Kindle. Book excerpt: Better experimental design and statistical analysis make for more robust science. A thorough understanding of modern statistical methods can mean the difference between discovering and missing crucial results and conclusions in your research, and can shape the course of your entire research career. With Applied Statistics, Barry Glaz and Kathleen M. Yeater have worked with a team of expert authors to create a comprehensive text for graduate students and practicing scientists in the agricultural, biological, and environmental sciences. The contributors cover fundamental concepts and methodologies of experimental design and analysis, and also delve into advanced statistical topics, all explored by analyzing real agronomic data with practical and creative approaches using available software tools. IN PRESS! This book is being published according to the “Just Published” model, with more chapters to be published online as they are completed.

Assessing Gene-Environment Interactions in Genome-Wide Association Studies: Statistical Approaches

Author : Philip C. Cooley
Publisher : RTI Press
ISBN 13 :
Total Pages : 24 pages
Book Rating : 4./5 ( download)

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Book Synopsis Assessing Gene-Environment Interactions in Genome-Wide Association Studies: Statistical Approaches by : Philip C. Cooley

Download or read book Assessing Gene-Environment Interactions in Genome-Wide Association Studies: Statistical Approaches written by Philip C. Cooley and published by RTI Press. This book was released on 2014-05-14 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this report, we address a scenario that uses synthetic genotype case-control data that is influenced by environmental factors in a genome-wide association study (GWAS) context. The precise way the environmental influence contributes to a given phenotype is typically unknown. Therefore, our study evaluates how to approach a GWAS that may have an environmental component. Specifically, we assess different statistical models in the context of a GWAS to make association predictions when the form of the environmental influence is questionable. We used a simulation approach to generate synthetic data corresponding to a variety of possible environmental-genetic models, including a “main effects only” model as well as a “main effects with interactions” model. Our method takes into account the strength of the association between phenotype and both genotype and environmental factors, but we focus on low-risk genetic and environmental risks that necessitate using large sample sizes (N = 10,000 and 200,000) to predict associations with high levels of confidence. We also simulated different Mendelian gene models, and we analyzed how the collection of factors influences statistical power in the context of a GWAS. Using simulated data provides a “truth set” of known outcomes such that the association-affecting factors can be unambiguously determined. We also test different statistical methods to determine their performance properties. Our results suggest that the chances of predicting an association in a GWAS is reduced if an environmental effect is present and the statistical model does not adjust for that effect. This is especially true if the environmental effect and genetic marker do not have an interaction effect. The functional form of the statistical model also matters. The more accurately the form of the environmental influence is portrayed by the statistical model, the more accurate the prediction will be. Finally, even with very large samples sizes, association predictions involving recessive markers with low risk can be poor

Analysis of Genetic Association Studies

Author : Gang Zheng
Publisher : Springer Science & Business Media
ISBN 13 : 1461422450
Total Pages : 419 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Analysis of Genetic Association Studies by : Gang Zheng

Download or read book Analysis of Genetic Association Studies written by Gang Zheng and published by Springer Science & Business Media. This book was released on 2012-01-11 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analysis of Genetic Association Studies is both a graduate level textbook in statistical genetics and genetic epidemiology, and a reference book for the analysis of genetic association studies. Students, researchers, and professionals will find the topics introduced in Analysis of Genetic Association Studies particularly relevant. The book is applicable to the study of statistics, biostatistics, genetics and genetic epidemiology. In addition to providing derivations, the book uses real examples and simulations to illustrate step-by-step applications. Introductory chapters on probability and genetic epidemiology terminology provide the reader with necessary background knowledge. The organization of this work allows for both casual reference and close study.

Assessing Gene-environment Interactions in Genome-wide Association Studies

Author : Philip Chester Cooley
Publisher :
ISBN 13 :
Total Pages : 20 pages
Book Rating : 4.:/5 (18 download)

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Book Synopsis Assessing Gene-environment Interactions in Genome-wide Association Studies by : Philip Chester Cooley

Download or read book Assessing Gene-environment Interactions in Genome-wide Association Studies written by Philip Chester Cooley and published by . This book was released on 2014 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this report, we address a scenario that uses synthetic genotype case-control data that is influenced by environmental factors in a genome-wide association study (GWAS) context. The precise way the environmental influence contributes to a given phenotype is typically unknown. Therefore, our study evaluates how to approach a GWAS that may have an environmental component. Specifically, we assess different statistical models in the context of a GWAS to make association predictions when the form of the environmental influence is questionable. We used a simulation approach to generate synthetic data corresponding to a variety of possible environmental-genetic models, including a "main effects only" model as well as a "main effects with interactions" model. Our method takes into account the strength of the association between phenotype and both genotype and environmental factors, but we focus on low-risk genetic and environmental risks that necessitate using large sample sizes (N = 10,000 and 200,000) to predict associations with high levels of confidence. We also simulated different Mendelian gene models, and we analyzed how the collection of factors influences statistical power in the context of a GWAS. Using simulated data provides a "truth set" of known outcomes such that the association-affecting factors can be unambiguously determined. We also test different statistical methods to determine their performance properties. Our results suggest that the chances of predicting an association in a GWAS is reduced if an environmental effect is present and the statistical model does not adjust for that effect. This is especially true if the environmental effect and genetic marker do not have an interaction effect. The functional form of the statistical model also matters. The more accurately the form of the environmental influence is portrayed by the statistical model, the more accurate the prediction will be. Finally, even with very large samples sizes, association predictions involving recessive markers with low risk can be poor.

Genes, Behavior, and the Social Environment

Author : Institute of Medicine
Publisher : National Academies Press
ISBN 13 : 0309101964
Total Pages : 385 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Genes, Behavior, and the Social Environment by : Institute of Medicine

Download or read book Genes, Behavior, and the Social Environment written by Institute of Medicine and published by National Academies Press. This book was released on 2006-12-07 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past century, we have made great strides in reducing rates of disease and enhancing people's general health. Public health measures such as sanitation, improved hygiene, and vaccines; reduced hazards in the workplace; new drugs and clinical procedures; and, more recently, a growing understanding of the human genome have each played a role in extending the duration and raising the quality of human life. But research conducted over the past few decades shows us that this progress, much of which was based on investigating one causative factor at a time—often, through a single discipline or by a narrow range of practitioners—can only go so far. Genes, Behavior, and the Social Environment examines a number of well-described gene-environment interactions, reviews the state of the science in researching such interactions, and recommends priorities not only for research itself but also for its workforce, resource, and infrastructural needs.

Hierarchical Modelling for the Environmental Sciences

Author : James Samuel Clark
Publisher : Oxford University Press on Demand
ISBN 13 : 019856967X
Total Pages : 216 pages
Book Rating : 4.1/5 (985 download)

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Book Synopsis Hierarchical Modelling for the Environmental Sciences by : James Samuel Clark

Download or read book Hierarchical Modelling for the Environmental Sciences written by James Samuel Clark and published by Oxford University Press on Demand. This book was released on 2006 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: New statistical tools are changing the way in which scientists analyze and interpret data and models. Hierarchical Bayes and Markov Chain Monte Carlo methods for analysis provide a consistent framework for inference and prediction where information is heterogeneous and uncertain, processes are complicated, and responses depend on scale. Nowhere are these methods more promising than in the environmental sciences.

Heterogeneity in Statistical Genetics

Author : Derek Gordon
Publisher : Springer Nature
ISBN 13 : 3030611213
Total Pages : 366 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Heterogeneity in Statistical Genetics by : Derek Gordon

Download or read book Heterogeneity in Statistical Genetics written by Derek Gordon and published by Springer Nature. This book was released on 2020-12-16 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: Heterogeneity, or mixtures, are ubiquitous in genetics. Even for data as simple as mono-genic diseases, populations are a mixture of affected and unaffected individuals. Still, most statistical genetic association analyses, designed to map genes for diseases and other genetic traits, ignore this phenomenon. In this book, we document methods that incorporate heterogeneity into the design and analysis of genetic and genomic association data. Among the key qualities of our developed statistics is that they include mixture parameters as part of the statistic, a unique component for tests of association. A critical feature of this work is the inclusion of at least one heterogeneity parameter when performing statistical power and sample size calculations for tests of genetic association. We anticipate that this book will be useful to researchers who want to estimate heterogeneity in their data, develop or apply genetic association statistics where heterogeneity exists, and accurately evaluate statistical power and sample size for genetic association through the application of robust experimental design.