Generalized Linear Models with Random Effects: Unified Analysis via H-likelihood, Second Edition
Colin O. Wu, Xin Tian
February 01, 2018
This book covers the recent advancement of statistical methods for the analysis of longitudinal data. Real datasets from four large NIH-supported longitudinal clinical trials and epidemiological studies illustrate the practical applications of the statistical methods. This book focuses on the...
Anastasios A. Tsiatis, Marie Davidian, Eric Laber, Shannon T. Holloway
January 01, 2018
Precision medicine seeks to use data to construct principled, i.e., evidence-based, treatment strategies that dictate where, when, and to whom treatment should be applied. A dynamic treatment regime formalizes precision medicine as a sequence of decision rules, one per stage of clinical...
January 01, 2018
The book gives a unified approach to nonparametric curve estimation based on missing and modified data. Missing data includes cases of missing at random and missing not at random, while data modification includes truncation and censoring, typical in survival analysis, as well as measurement errors...
Richard J Cook, Jerald F. Lawless
November 01, 2017
October 30, 2017
Scott A. Sisson, Yanan Fan, Mark Beaumont
October 15, 2017
Approximate Bayesian Computation (ABC) methods, also known as "likelihood-free" inference methods, can be used to solve very complex ("computationally intractable") problems. A huge amount of research has been conducted in this area over the last decade and a varied suite of algorithms, models,...
October 01, 2017
This gives a comprehensive introduction to the (standard) statistical analysis based on the theory of martingales and develops entropy methods in order to treat dependent data in the framework of martingales. The author starts a summary of the martingale theory, and then proceeds to give full...
July 10, 2017
Mixed effects models, including linear mixed models, generalized linear mixed models, nonlinear mixed effects models, and non-parametric mixed effects models, are complex models by nature; yet, these models are extensively used in practice. This monograph provides a comprehensive overview of...
Ruth M. Pfeiffer, Mitchell H. Gail
July 03, 2017
Absolute Risk: Methods and Applications in Clinical Management and Public Health provides theory and examples to demonstrate the importance of absolute risk in counseling patients, in devising public health strategies, and in clinical management. The book provides sufficient technical detail to...
Youngjo Lee, John A. Nelder, Yudi Pawitan
May 18, 2017
This is the second edition of a monograph on generalized linear models with random effects that extends the classic work of McCullagh and Nelder. It has been thoroughly updated, with around 80 pages added, including new material on the extended likelihood approach that strengthens the theoretical...
Ardo van den Hout
December 02, 2016
Multi-State Survival Models for Interval-Censored Data introduces methods to describe stochastic processes that consist of transitions between states over time. It is targeted at researchers in medical statistics, epidemiology, demography, and social statistics. One of the applications in the book...
Robert Elashoff, Gang li, Ning Li
August 24, 2016
Longitudinal studies often incur several problems that challenge standard statistical methods for data analysis. These problems include non-ignorable missing data in longitudinal measurements of one or more response variables, informative observation times of longitudinal data, and survival...