New Developments in Biostatistics and Bioinformatics (2009) Pdf Free Download

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The first eight years of the twenty-first century has witted the explosion of data collection, with relatively low costs. Data with curves, images and movies are frequently collected in molecular biology, health science, engineering, geology, climatology, economics, finance, and humanities. For example, in biomedical research, MRI, fMRI, microarray, and proteomics data are frequently collected for each subject, involving hundreds of subjects; in molecular biology, massive sequencing data are becoming rapidly available; in natural resource discovery and agriculture, thousands of high-resolution images are collected; in business and finance, millions of transactions are recorded every day. Frontiers of science, engineering, and humanities differ in the problems of their concerns, but nevertheless share a common theme: massive or complex data have been collected and new knowledge needs to be discovered. Massive data collection and new scientific research have strong impact on statistical thinking, methodological development, and theoretical studies. They have also challenged traditional statistical theory, methods, and computation. Many new insights and phenomena need to be discovered and new statistical tools need to be developed. 

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