Using R for Biostatistics (2021)

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    This book, through its several editions, has continued to adapt to evolving areas of research in epidemiology and statistics, while maintaining the original objective of being non-threatening, understandable and accessible to those with limited or no background in mathematics. New areas are covered in the fourth edition, and include a new chapter on risk prediction, risk reclassification and evaluation of biomarkers, new material on propensity analyses and a vastly expanded and updated chapter on genetic epidemiology.
    With the sequencing of the human genome, there has been a flowering of research into the genetic basis of health and disease, and especially the interactions between genes and environmental exposures. The medical literature in genetic epidemiology is vastly expanding and some knowledge of the epidemiological designs and an acquaintance with the statistical methods used in such research is necessary in order to be able to appreciate new findings. Thus this edition includes a new chapter on genetic epidemiology. Such material is not usually found in first level epidemiology or statistics books, but it is presented here in a basic, and hopefully easily comprehensible, way for those unfamiliar or only slightly familiar with the field.

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