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Focusing on visualization and computational approaches with an emphasis on the importance of simulation, this book introduces modern and classical biostatistical methods and compares their respective usefulness. It covers essential topics in biostatistical science, including simple linear regression, multivariate regression, repeated measure, nonparametric analysis, survival analysis, sample size, and power calculations. Assuming only basic knowledge of probability and statistics, the text offers numerous practical applications and detailed worked examples taken from the medical area, all computed using R and SAS, as well as exercises with solutions.
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