Handbook of Regression Analysis With Applications in R\n\nSamprit Chatterjee (Author), Jeffrey S. Simonoff (Author)\n\n9781119392378, Wiley\n\nHardback, published 2 October 2020\n\n384 pages\n23.1 x 16 x 2.3 cm, 0.703 kg\n\nHandbook and reference guide for students and practitioners of statistical regression-based analyses in R \nHandbook of Regression Analysis with Applications in R, Second Edition is a comprehensive and up-to-date guide to conducting complex regressions in the R statistical programming language. The authors' thorough treatment of \""classical\"" regression analysis in the first edition is complemented here by their discussion of more advanced topics including time-to-event survival data and longitudinal and clustered data. \nThe book further pays particular attention to methods that have become prominent in the last few decades as increasingly large data sets have made new techniques and applications possible. These include:\n--Regularization methods \n--Smoothing me]