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"Cancer is a dreaded disease. One in two people will be diagnosed with cancer within their lifetime. This textbook shows how cancer data can be analysed in a variety of ways, covering cancer clinical trial data, epidemiological data, biological data, and genetic data. It gives some background in cancer biology and genetics, followed by detailed overviews of survival analysis, clinical trials, regression analysis, epidemiology, Meta-analysis, Biomarkers, and cancer informatics. It includes lots of examples using real data from the author's many years of experience working in a cancer clinical trials unit. Features:
Oncology, Mathematics > Probability & Statistics, Statistical methods, Research, Medical statistics
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