BOOK SERIES


Chapman & Hall/CRC Monographs on Statistics & Applied Probability


127 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
July 15, 2017

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...

The Statistical Analysis of Multivariate Time

The Statistical Analysis of Multivariate Time

Forthcoming

Ross L. Prentice, Shanshan Zhao
July 15, 2017

Though much has been written on multivariate failure time data analysis methods, a unified approach to this topic has yet to be communicated. This book aims to fill that gap through a novel focus on marginal hazard rates and cross ratio modeling. Readers will find the content useful for instruction...

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
July 15, 2017

Martingale Methods in Statistics

Martingale Methods in Statistics

Forthcoming

Yoichi Nishiyama
July 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...

Handbook of Approximate Bayesian Computation

Handbook of Approximate Bayesian Computation

Forthcoming

Scott A. Sisson, Yanan Fan, Mark Beaumont
June 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,...

Propensity Score Modeling and Adjustment Procedures

Propensity Score Modeling and Adjustment Procedures

Forthcoming

David Stephens
June 15, 2017

This book provides a good balance of propensity score modeling theory (particularly semiparametric methods) and applications through worked examples and software, including R and Stata code. Key topics covered include longitudinal data, survival data, survey sampling, model selection, and Bayesian...

Introduction to Dynamic Treatment Regimes

Introduction to Dynamic Treatment Regimes

Forthcoming

Anastasios A. Tsiatis, Marie Davidian, Eric Laber, Shannon T. Holloway
June 15, 2017

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...

Mixed Effects Model Asymptotics

Mixed Effects Model Asymptotics

Forthcoming

Jiming Jiang
April 15, 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 or Crude Risk: Methods and Applications in Disease Prevention

Absolute or Crude Risk: Methods and Applications in Disease Prevention

Forthcoming

Ruth Pfeiffer, Mitchell H. Gail
April 01, 2017

Absolute risk is the probability of developing a specific disease over a specified time interval in the presence of competing causes of mortality. Although absolute risk is arguably more relevant to clinical decision making than "pure" risk, the development of appropriate statistical methods for...

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
December 19, 2016

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

Forthcoming

Ardo van den Hout
September 29, 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...

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