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Although the basic statistical theory behind modern genetics is not very difficult, most statistical genetics papers are not easy to read;
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This book covers the statistical models and methods that are used to understand human genetics, following the historical and recent;
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This book covers the statistical models and methods that are used to understand human genetics, following the historical and recent;
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Epidemiology, Statistical Methods in Clinical Trials, Statistical Genetics, and General Methods. To reflect the rise of modern statistical genetics as;
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methods and multivariate sequential procedures. This book emphasizes the modern statistical methodology for QTL mapping as well as the;
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Statistical genetics is a scientific discipline that is concerned with developing statistical methods for analyzing genetic data. This;
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Rigorous statistical analysis methods for human genetics application Statistics in Human Genetics explores the statistical analysis;
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of determining genetic markers and hence opened up a field of research that is increasingly helping to detect, prevent and/or cure many diseases that;
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A guide to using S environments to perform statistical analyses providing both an introduction to the use of S and a course in modern;
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statistical methods of analysis of bacterial genetic data. * A how to of bacterial population genetics, which covers an extremely large range;
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A comprehensive introduction to sampling-based methods in statistical computing The use of computers in mathematics and statistics has;
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statistical background and who need to keep abreast of new findings in this fast moving field. Unlike many other elementary books on biostatistics;
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statistical background and who need to keep abreast of new findings in this fast moving field. Unlike many other elementary books on biostatistics;
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A comprehensive introduction to modern applied statistical genetic data analysis, accessible to those without a background in molecular;
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approaches to help them become more effective users of modern genetic, genomic and statistical tools. In-depth chapters offer thorough discussions;
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survival data. It provides thorough coverage of recent statistical developments in the medical and genetics fields. The text mainly addresses;
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survival data. It provides thorough coverage of recent statistical developments in the medical and genetics fields. The text mainly addresses;
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This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science;
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introduction to recent development in statistical methodologies for epidemiological and biomedical researchers. Many of these methods have become;
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Introduction to Robust and Quasi-Robust Statistical Methods is een boek van William J.J. Rey;
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generated to address extremely complex biological questions. Correspondingly, advances in the statistical methods necessary to analyze such data are;
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media development and interactive, linkable internet software. This book presents a coherent, technical introduction to modern statistical;
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additional material, this edition begins with a brief summary of some relevant general statistical concepts and an introduction to basic ideas;
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Deals with the methods and theories used to study variation within and among human populations, specifically looking at genetics research;
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The first all-inclusive introduction to modern statistical research methods in the natural resource sciences The use of Bayesian;
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Mass Identifications: Statistical Methods in Forensic Genetics summarizes the state-of-the-art in the field, including methods and recent;
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Emphasizing concepts rather than recipes, An Introduction to Statistical Inference and Its Applications with R provides a clear exposition;
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