Ten Projects in Applied Statistics

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Targeted at quantitative researchers in fields like biology and medicine, the book provides a comprehensive guide for graduate students in statistics and biostatistics. It features ten detailed examples that tackle real-world statistical challenges while emphasizing the importance of accommodating correlations in data. Key concepts such as baseline and randomization are defined, setting the groundwork for model formulation. The text also addresses statistical pitfalls with contemporary literature examples and delves into advanced technical topics like covariance functions and likelihood ratios.