With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis (Springer Series in Statistics) Frank E. Harrell Jr. Additional Author mixed material bibliography Charllotsville Springer 2001 en English

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7 x 1.31 x 10 inches Regression Modelling Strategies presents full-scale case studies of non-trivial data-sets instead of over-simplified illustrations of each method. These case studies use freely available R functions that make the multiple imputation, model building, validation and interpretation tasks described in the book relatively easy to do. Most of the methods in this text apply to all regression models, but special emphasis is given to multiple regression using generalised least squares for longitudinal data, the binary logistic model, models for ordinal responses, parametric survival regression models and the Cox semi parametric survival model. A new emphasis is given to the robust analysis of continuous dependent variables using ordinal regression. - 519.5 0387952322 UNRIYO LIBRARY PERPUSTAKAAN UNIVERSITAS RESPATI YOGYAKARTA (UNRIYO) 519.5 FRA r 2567PR2-1 Perpustakaan Kampus 2 - Jln. Raya Tajem Km 1,5 Maguwoharjo, Sleman, Yogyakarta. 519.5 FRA r C1 frank_harrel.png.png 6812 2023-09-15 14:17:03 2023-09-15 14:17:03 machine generated