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Interval-censored time-to-event data : methods and applications

Author: Ding-Geng Chen; Jianguo Sun; Karl E Peace
Publisher: Boca Raton, FL : CRC Press, ©2013.
Series: Chapman & Hall/CRC biostatistics series (Unnumbered)
Edition/Format:   Book : EnglishView all editions and formats
Database:WorldCat
Summary:
"Preface The aim of this book is to present in a single volume an overview and latest developments in time-to-event interval-censored methods along with application of such methods. The book is divided into three parts. Part I provides an introduction and overview of time-to-event methods for interval-censored data. Methodology is presented in Part II. Applications and related software appear in Part III. Part I  Read more...
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Details

Document Type: Book
All Authors / Contributors: Ding-Geng Chen; Jianguo Sun; Karl E Peace
ISBN: 9781466504257 1466504250
OCLC Number: 754730128
Notes: "A Chapman & Hall book."
Description: xxviii, 405 p. : ill. ; 24 cm.
Contents: Overview of recent developments for interval-censored data / Jianguo Sun and Junlong Li --
A review of various models models for interval-censored data / Qiping Yu and Yuting Hsu --
Current status data in the twenty-first century / Moulinath Banerjee --
Regression analysis for current status data / Bin Zhang --
Statistical analysis of dependent current status data / Yang-Jin Kim ... [et al.] --
Bayesian semiparametric regression analysis of interval-censored data with monotone splines / Lianming Wang , Xiaoyan (Iris) Li, and Bo Cai --
Bayesian inference of interval-censored survival data / Xiaojing Wang ... [et al.] --
Targeted minimum loss-based estimation of a casual effect using interval-censored time-to-event data / Marco Carone, Maya Petersen, and Mark J. van der Laan --
Consistent variance estimation in interval-censored data / Jian Huang, Ying Zhang, and Lei Hua --
Bias assessment in progression-free survival analysis / Chen Hu, Kalyanee Viraswami-Appanna, and Bharani Dharan --
Bias and its remedy in interval-censored time-to-event applications / Ding-Geng (Din) Chen ... [et al.] --
Adaptive decision making based on interval-censored data in a clinical trial to optimize rapid treatment of stroke / Peter F. Thall, Hoang Q. Nguyen, and Aniko Szabo --
Practical issues on using weighted Logrank tests / Michael P. Fay and Sally A. Hunsberger --
glrt : new R package for analyzing interval-censored survival data / Qiang Zhao.
Series Title: Chapman & Hall/CRC biostatistics series (Unnumbered)
Responsibility: edited by Ding-Geng Chen, Jianguo Sun, Karl E. Peace.

Abstract:

"Preface The aim of this book is to present in a single volume an overview and latest developments in time-to-event interval-censored methods along with application of such methods. The book is divided into three parts. Part I provides an introduction and overview of time-to-event methods for interval-censored data. Methodology is presented in Part II. Applications and related software appear in Part III. Part I consists of two chapters. In Chapter 1, Sun and Li present an overview of recent developments, with attention to nonparametric estimation and comparison of survival functions, regression analysis, analysis of multivariate clustered- and analysis of competing risks interval-censored data. In Chapter 2, Yu and Hsu provide a review of models for interval-censored (IC) data, including: independent interval censorship models, the full likelihood model, various models for C1, C2, and MIC data as well as multivariate IC models. Part II consists of seven chapters (3-9). Chapters 3, 4 and 5 deal with interval-censored methods for current status data. In Chapter 3, Banerjee presents: likelihood based inference, more general forms of interval censoring, competing risks, smoothed estimators, inference on a grid, outcome misclassi- cation, and semiparametric models. In Chapter 4, Zhang presents regression analyses using the proportional hazards model, the proportional odds model, and a linear transformation model, as well as considering bivariate current status data with the proportional odds model. In Chapter 5, Kim, Kim, Nam and Kim develop statistical analysis methods for dependent current status data and utilize the R Package CSD to analyze such data"--
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