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Chapman & Hall/CRC Monographs on Statistics & Applied Probability


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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
June 19, 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...

Multivariate Kernel Smoothing and Its Applications

Multivariate Kernel Smoothing and Its Applications

Forthcoming

José E. Chacón, Tarn Duong
June 15, 2018

  Kernel smoothing has greatly evolved since its inception to become an essential methodology in the Data Science tool kit for the 21st century. Its widespread adoption is due to its fundamental role for multivariate exploratory data analysis, as well as the crucial role it plays in...

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
May 25, 2018

Multistate Models for the Analysis of Life History Data provides the first comprehensive treatment of multistate modeling and analysis, including parametric, nonparametric and semiparametric methods applicable to many types of life history data. Special models such as illness-death, competing risks...

Sufficient Dimension Reduction: Methods and Applications with R

Sufficient Dimension Reduction: Methods and Applications with R

Forthcoming

Bing Li
May 04, 2018

Sufficient dimension reduction is a rapidly developing research field that has wide applications in regression diagnostics, data visualization, machine learning, genomics, image processing, pattern recognition, and medicine, because they are fields that produce large datasets with a large number of...

Probabilistic Foundations of Statistical Network Analysis

Probabilistic Foundations of Statistical Network Analysis

Forthcoming

Harry Crane
April 30, 2018

Probabilistic Foundations of Statistical Network Analysis presents a fresh and insightful perspective on the fundamental tenets and major challenges of modern network analysis. Its lucid exposition provides necessary background for understanding the essential ideas behind exchangeable and dynamic...

Missing and Modified Data in Nonparametric Estimation: With R Examples

Missing and Modified Data in Nonparametric Estimation: With R Examples

Forthcoming

Sam Efromovich
March 13, 2018

This book presents a systematic and unified approach for modern nonparametric treatment of missing and modified data via examples of density and hazard rate estimation, nonparametric regression, filtering signals, and time series analysis. All basic types of missing at random and not at random,...

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

Youngjo Lee, John A. Nelder, Yudi Pawitan
August 04, 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...

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

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

Ruth M. Pfeiffer, Mitchell H. Gail
July 26, 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, devising public health strategies, and clinical management. The book provides sufficient technical detail to allow...

Antedependence Models for Longitudinal Data

Antedependence Models for Longitudinal Data

Dale L. Zimmerman, Vicente A. Núñez-Antón
June 14, 2017

The First Book Dedicated to This Class of Longitudinal Models Although antedependence models are particularly useful for modeling longitudinal data that exhibit serial correlation, few books adequately cover these models. By gathering results scattered throughout the literature, Antedependence...

Simultaneous Inference in Regression

Simultaneous Inference in Regression

Wei Liu
June 13, 2017

Simultaneous confidence bands enable more intuitive and detailed inference of regression analysis than the standard inferential methods of parameter estimation and hypothesis testing. Simultaneous Inference in Regression provides a thorough overview of the construction methods and applications of...

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

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

Jiming Jiang
June 08, 2017

Large sample techniques are fundamental to all fields of statistics. Mixed effects models, including linear mixed models, generalized linear mixed models, non-linear mixed effects models, and non-parametric mixed effects models are complex models, yet, these models are extensively used in practice....

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...

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