Master the art of multiple testing in R with this comprehensive guide, featuring step‑by‑step tutorials on Tukey, Holm–Bonferroni, and permutation methods, complete with real data examples and reproducible code snippets.
Explore categorical data analysis through clear theory, practical examples, and statistical software guidance, making complex concepts accessible for students and researchers alike.
A comprehensive guide that demystifies linear, logistic, survival and repeated measures models for biostatistics, blending theory with practical examples to empower researchers in biology and health.
Explore advanced statistical methods through practical code examples in both C++ and R, learning how to integrate high-performance computing with flexible data analysis for real-world research challenges.