BOOK SERIES


Chapman & Hall/CRC Monographs on Statistics & Applied Probability


126 Series Titles

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Nonparametric Models for Longitudinal Data: With Implementation in R

Nonparametric Models for Longitudinal Data: With Implementation in R

Forthcoming

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...

Introduction to Dynamic Treatment Regimes

Introduction to Dynamic Treatment Regimes

Forthcoming

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...

Missing and Modified Data in Nonparametric Estimation

Missing and Modified Data in Nonparametric Estimation

Forthcoming

Sam Efromovich
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...

Multistate Models for the Analysis of Life History Data

Multistate Models for the Analysis of Life History Data

Forthcoming

Richard J Cook, Jerald F. Lawless
November 01, 2017

Handbook of Approximate Bayesian Computation

Handbook of Approximate Bayesian Computation

Forthcoming

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,...

Martingale Methods in Statistics

Martingale Methods in Statistics

Forthcoming

Yoichi Nishiyama
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...

Asymptotic Analysis of Mixed Effects Models: Theory, Applications, and Open Problems

Asymptotic Analysis of Mixed Effects Models: Theory, Applications, and Open Problems

Forthcoming

Jiming Jiang
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...

Absolute Risk: Methods and Applications in Clinical Management and Public Health

Absolute Risk: Methods and Applications in Clinical Management and Public Health

Forthcoming

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...

Generalized Linear Models with Random Effects: Unified Analysis via H-likelihood, Second Edition

Generalized Linear Models with Random Effects: Unified Analysis via H-likelihood, Second Edition

Forthcoming

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...

Multi-State Survival Models for Interval-Censored Data

Multi-State Survival Models for Interval-Censored Data

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...

Joint Modeling of Longitudinal and Time-to-Event Data

Joint Modeling of Longitudinal and Time-to-Event Data

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...

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