Analysis of Longitudinal Data 2nd Ed Diggle Heagerty Liang Zeger

I am selling Analysis of Longitudinal Data, 2nd Edition (Diggle, Heagerty, Liang & Zeger) – Hardcover in excellent condition. The standard reference on analyzing repeated-measures and longitudinal data. It’s part of the Oxford Statistical Science Series (No. 25), and the first edition is widely considered a classic. This 2nd edition adds two new chapters: one on fully parametric models for discrete repeated-measures data, and one on models for time-dependent predictors. Details * Authors: Peter J. Diggle, Patrick Heagerty, Kung-Yee Liang & Scott L. Zeger * Publisher: Oxford University Press, 2nd edition, hardcover, about 380 pages * ISBN: 0-19-852484-6 (978-0-19-852484-7) * Condition: excellent. The cover and spine are clean and the binding is tight. The pages are clean, with no writing or highlighting. No markings. * Note: the back cover has a bookstore price sticker (originally $127.50) and a few light smudges. What’s covered * Design considerations, sample size calculations, and exploring longitudinal data * General linear models for longitudinal data: correlated errors, weighted least squares, maximum likelihood and REML * Parametric models for covariance structure and analysis of variance methods * Generalized linear models: marginal models and GEE, random effects models, and transition models * Likelihood-based methods for categorical data, including marginalized models * New in this edition: time-dependent covariates, including g-computation and inverse probability weighting, and a fuller treatment of missing values and dropout * Additional topics: non-parametric and non-linear regression, joint modelling with recurrent events, and multivariate longitudinal data * Statistical background appendix, bibliography, and index * Great for: graduate courses in biostatistics, epidemiology, and statistics. It’s also useful for researchers and analysts working with repeated measures, clinical trials, or cohort data. Comes from a pet and smoke-free environment. Pickup in Mount Pleasant (NW Calgary)