The book illustrates how biostatistics may numerically summarize human genetic epidemiology using R, and may be used successfully to solveproblems in quantitative Genetic EpidemiologyBiostatistics for Human Genetic Epidemiology providesstatistical methodologies and R recipes for human geneticepidemiologic problems. It begins by introducing all thenecessary probabilistic and statistical foundations, beforemoving on to topics related human genetic epidemiologywith R codes illustrations for various examples.This clear and concise book covers human geneticepidemiology, using R in data analysis, including multivariatedata analysis. It examines probabilistic and statistical theoriesfor modeling human genetic epidemiology ¿ leading the readersthrough an effective epidemiologic model, from simple toadvanced levels. Classical mathematical, probabilistic, andstatistical theory are thoroughly discussed and presented. Thisbook also presents R as a calculator and using R in data analysis.Additionally, it covers Advanced Human Genetic DataConcepts, the Study of Human Genetic Variation, ManhattanPlots, as well as the Procedures for Multiple Comparison.Numerous Worked Examples are provided for illustrations ofconcepts and real-life applications.Biostatistics for Human Genetic Epidemiology is an idealreference for professionals and students in Medicine(particularly in Preventive Medicine and Public HealthMedical Practices), as well as in Genetics, Epidemiology, andBiostatistics.

Correlates with modern genetics in medicine

Preface.- Dedication.- Contents.- Introduction To Human Genetic Epidemiology.- Data Analysis Using R Programming.- Applied Statistics For Human Genetics Using R.- Applied Human Genetic Epidemiology.- Human Genetic Epidemiology Using R.- References.- Subject Index.