Title:
Interval-censored time-to-event data : methods and applications
Author:
Chen, Ding-Geng.
ISBN:
9781466504257
Publication Information:
Boca Raton, FL : CRC Press, c2013.
Physical Description:
xxviii, 405 p. : ill. ; 24 cm.
Series:
Chapman & Hall/CRC biostatistics series
Chapman & Hall/CRC biostatistics series (Unnumbered)
General Note:
"A Chapman & Hall book."
Contents:
Machine generated contents note: 1.Overview of Recent Developments for Interval-Censored Data -- 1.1.Introduction / Jianguo Sun / Junlong Li -- 1.2.More Introduction / Jianguo Sun / Junlong Li -- 1.3.Nonparametric Estimation / Jianguo Sun / Junlong Li -- 1.4.Nonparametric Comparison of Survival Functions / Jianguo Sun / Junlong Li -- 1.5.Regression Analysis / Jianguo Sun / Junlong Li -- 1.6.Analysis of Multivariate or Clustered Interval-Censored Data / Jianguo Sun / Junlong Li -- 1.7.Analysis of Competing Risks Interval-Censored Data / Jianguo Sun / Junlong Li -- 1.8.Other Topics and Concluding Remarks / Jianguo Sun / Junlong Li -- Bibliography / Jianguo Sun / Junlong Li -- 2.A Review of Various Models for Interval-Censored Data / Jianguo Sun / Junlong Li -- 2.1.Introduction / Qiqing Yu / Yuting Hsu -- 2.2.Independent Interval Censorship Models / Qiqing Yu / Yuting Hsu -- 2.2.1.Full Likelihood / Qiqing Yu / Yuting Hsu --
Contents note continued: 2.2.2.Various Models for C1 or C2 Data / Qiqing Yu / Yuting Hsu -- 2.2.3.Various Models for MIC Data / Qiqing Yu / Yuting Hsu -- 2.3.About Multivariate IC Models / Qiqing Yu / Yuting Hsu -- Bibliography / Qiqing Yu / Yuting Hsu -- 3.Current Status Data in the Twenty-First Century / Qiqing Yu / Yuting Hsu -- 3.1.Introduction / Moulinath Banerjee -- 3.2.Likelihood-Based Inference for Current Status Data / Moulinath Banerjee -- 3.3.More General Forms of Interval-Censoring / Moulinath Banerjee -- 3.4.Current Status Data with Competing Risks / Moulinath Banerjee -- 3.5.Smoothed Estimators for Current Status Data / Moulinath Banerjee -- 3.6.Inference for Current Status Data on a Grid / Moulinath Banerjee -- 3.7.Current Status Data with Outcome Misclassification / Moulinath Banerjee -- 3.8.Semiparametric Models and Other Work / Moulinath Banerjee -- Bibliography / Moulinath Banerjee -- 4.Regression Analysis for Current Status Data / Moulinath Banerjee --
Contents note continued: 4.1.Introduction / Bin Zhang -- 4.2.Regression Analysis with Proportional Hazards Model / Bin Zhang -- 4.3.Regression Analysis with Proportional Odds Model / Bin Zhang -- 4.4.Regression Analysis with Linear Transformation Model / Bin Zhang -- 4.5.Bivariate Current Status Data with Proportional Odds Model / Bin Zhang -- 4.6.Illustrative Examples / Bin Zhang -- 4.7.Discussion and Remarks / Bin Zhang -- Bibliography / Bin Zhang -- 5.Statistical Analysis of Dependent Current Status Data / Bin Zhang -- 5.1.Introduction / Yang-Jin Kim / Jinheum Kim / Chung Mo Nam / Youn Nam Kim -- 5.2.Model / Yang-Jin Kim / Jinheum Kim / Chung Mo Nam / Youn Nam Kim -- 5.3.Estimation / Yang-Jin Kim / Jinheum Kim / Chung Mo Nam / Youn Nam Kim -- 5.4.Software: R Package CSD / Yang-Jin Kim / Jinheum Kim / Chung Mo Nam / Youn Nam Kim -- 5.5.Data Analysis / Yang-Jin Kim / Jinheum Kim / Chung Mo Nam / Youn Nam Kim --
Contents note continued: 5.6.Discussion / Yang-Jin Kim / Jinheum Kim / Chung Mo Nam / Youn Nam Kim -- Bibliography / Yang-Jin Kim / Jinheum Kim / Chung Mo Nam / Youn Nam Kim -- R Programs / Yang-Jin Kim / Jinheum Kim / Chung Mo Nam / Youn Nam Kim -- 6.Bayesian Semiparametric Regression Analysis of Interval-Censored Data with Monotone Splines / Yang-Jin Kim / Jinheum Kim / Chung Mo Nam / Youn Nam Kim -- 6.1.Introduction / Lianming Wang / Xiaoyan (Iris) Lin / Bo Cai -- 6.2.Monotone Splines / Lianming Wang / Xiaoyan (Iris) Lin / Bo Cai -- 6.3.Proposed Methods / Lianming Wang / Xiaoyan (Iris) Lin / Bo Cai -- 6.3.1.Under the Probit Model / Lianming Wang / Xiaoyan (Iris) Lin / Bo Cai -- 6.3.2.Under the PO Model / Lianming Wang / Xiaoyan (Iris) Lin / Bo Cai -- 6.3.3.Under the PH Model / Lianming Wang / Xiaoyan (Iris) Lin / Bo Cai -- 6.4.Illustrative Real-Life Example / Lianming Wang / Xiaoyan (Iris) Lin / Bo Cai -- 6.5.Discussion / Lianming Wang / Xiaoyan (Iris) Lin / Bo Cai --
Contents note continued: Bibliography / Lianming Wang / Xiaoyan (Iris) Lin / Bo Cai -- 7.Bayesian Inference of Interval-Censored Survival Data / Lianming Wang / Xiaoyan (Iris) Lin / Bo Cai -- 7.1.Introduction / Xiaojing Wang / Arijit Sinha / Jun Yan / Ming-Hui Chen -- 7.2.Bayesian Models / Xiaojing Wang / Arijit Sinha / Jun Yan / Ming-Hui Chen -- 7.2.1.Notations / Xiaojing Wang / Arijit Sinha / Jun Yan / Ming-Hui Chen -- 7.2.2.Cox Model with Time-Varying Regression Coefficients / Xiaojing Wang / Arijit Sinha / Jun Yan / Ming-Hui Chen -- 7.2.3.Piecewise Exponential Model for h0 / Xiaojing Wang / Arijit Sinha / Jun Yan / Ming-Hui Chen -- 7.2.4.Gamma Process Prior Model for H0 / Xiaojing Wang / Arijit Sinha / Jun Yan / Ming-Hui Chen -- 7.2.5.Autoregressive Prior Model for β / Xiaojing Wang / Arijit Sinha / Jun Yan / Ming-Hui Chen -- 7.2.6.Dynamic Model for ho and β / Xiaojing Wang / Arijit Sinha / Jun Yan / Ming-Hui Chen --
Contents note continued: 7.3.Posterior Computation / Xiaojing Wang / Arijit Sinha / Jun Yan / Ming-Hui Chen -- 7.3.1.Sample Event Times / Xiaojing Wang / Arijit Sinha / Jun Yan / Ming-Hui Chen -- 7.3.2.Sample Baseline Hazards and Regression Coefficients / Xiaojing Wang / Arijit Sinha / Jun Yan / Ming-Hui Chen -- 7.3.2.1.Update Move / Xiaojing Wang / Arijit Sinha / Jun Yan / Ming-Hui Chen -- 7.3.2.2.Birth Move / Xiaojing Wang / Arijit Sinha / Jun Yan / Ming-Hui Chen -- 7.3.2.3.Death Move / Xiaojing Wang / Arijit Sinha / Jun Yan / Ming-Hui Chen -- 7.4.Bayesian Model Comparison Criteria / Xiaojing Wang / Arijit Sinha / Jun Yan / Ming-Hui Chen -- 7.4.1.Logarithm of Pseudo-Marginal Likelihood / Xiaojing Wang / Arijit Sinha / Jun Yan / Ming-Hui Chen -- 7.4.2.Deviance Information Criterion / Xiaojing Wang / Arijit Sinha / Jun Yan / Ming-Hui Chen -- 7.5."Dynsurv" Package / Xiaojing Wang / Arijit Sinha / Jun Yan / Ming-Hui Chen --
Contents note continued: 7.6.Simulation Study / Xiaojing Wang / Arijit Sinha / Jun Yan / Ming-Hui Chen -- 7.7.Analysis of the Breast Cancer Data / Xiaojing Wang / Arijit Sinha / Jun Yan / Ming-Hui Chen -- 7.8.Discussion / Xiaojing Wang / Arijit Sinha / Jun Yan / Ming-Hui Chen -- Bibliography / Xiaojing Wang / Arijit Sinha / Jun Yan / Ming-Hui Chen -- 8.Targeted Minimum Loss-Based Estimation of a Causal Effect Using Interval-Censored Time-to-Event Data / Xiaojing Wang / Arijit Sinha / Jun Yan / Ming-Hui Chen -- 8.1.Introduction / Marco Carone / Maya Petersen / Mark J. van der Laan -- 8.1.1.Motivation / Maya Petersen / Mark J. van der Laan / Marco Carone -- 8.1.2.Overview / Marco Carone / Maya Petersen / Mark J. van der Laan -- 8.2.Formulation of Causal Framework / Marco Carone / Maya Petersen / Mark J. van der Laan -- 8.2.1.Definition of Parameter / Marco Carone / Maya Petersen / Mark J. van der Laan -- 8.2.2.Identifiability / Marco Carone / Maya Petersen / Mark J. van der Laan --
Contents note continued: 8.3.Estimation and Inference / Marco Carone / Maya Petersen / Mark J. van der Laan -- 8.3.1.Overview of Targeted Minimum Loss-Based Estimation / Marco Carone / Maya Petersen / Mark J. van der Laan -- 8.3.2.Implementation of TMLE / Marco Carone / Maya Petersen / Mark J. van der Laan -- 8.3.2.1.Basic Ingredients / Marco Carone / Maya Petersen / Mark J. van der Laan -- 8.3.2.2.Description of Algorithm / Marco Carone / Maya Petersen / Mark J. van der Laan -- 8.3.3.Asymptotic Results / Marco Carone / Maya Petersen / Mark J. van der Laan -- 8.4.Extension to the Case of Right-Censored Lifetimes / Marco Carone / Maya Petersen / Mark J. van der Laan -- 8.4.1.Causal Framework / Marco Carone / Maya Petersen / Mark J. van der Laan -- 8.4.2.Estimation and Inference / Marco Carone / Maya Petersen / Mark J. van der Laan -- 8.5.Alternative Target Parameters / Marco Carone / Maya Petersen / Mark J. van der Laan --
Contents note continued: 8.6.Concluding Remarks / Marco Carone / Maya Petersen / Mark J. van der Laan -- 8.7.Bibliography / Marco Carone / Maya Petersen / Mark J. van der Laan -- Appendix / Marco Carone / Maya Petersen / Mark J. van der Laan -- Bibliography / Marco Carone / Maya Petersen / Mark J. van der Laan -- 9.Consistent Variance Estimation in Interval-Censored Data / Marco Carone / Maya Petersen / Mark J. van der Laan -- 9.1.Introduction / Jian Huang / Ying Zhang / Lei Hua -- 9.2.Consistent Information Estimation / Jian Huang / Ying Zhang / Lei Hua -- 9.3.Observed Information Matrix in Sieve MLE / Jian Huang / Ying Zhang / Lei Hua -- 9.4.Examples / Jian Huang / Ying Zhang / Lei Hua -- 9.4.1.Cox Model for Interval-Censored Data / Jian Huang / Ying Zhang / Lei Hua -- 9.4.2.Poisson Proportional Mean Model for Panel Count Data / Jian Huang / Ying Zhang / Lei Hua -- 9.5.Numerical Results / Jian Huang / Ying Zhang / Lei Hua --
Contents note continued: 9.5.1.Simulation Studies / Jian Huang / Ying Zhang / Lei Hua -- 9.5.2.Applications / Jian Huang / Ying Zhang / Lei Hua -- 9.6.Discussion / Jian Huang / Ying Zhang / Lei Hua -- Acknowledgments / Jian Huang / Ying Zhang / Lei Hua -- Appendix / Jian Huang / Ying Zhang / Lei Hua -- Bibliography / Jian Huang / Ying Zhang / Lei Hua -- 10.Bias Assessment in Progression-Free Survival Analysis / Jian Huang / Ying Zhang / Lei Hua -- 10.1.Introduction / Chen Hu / Kalyanee Viraswami-Appanna / Bharani Dharan -- 10.1.1.Overview of Progression-Free Survival / Chen Hu / Kalyanee Viraswami-Appanna / Bharani Dharan -- 10.1.2.Potential Bias in PFS Analysis / Chen Hu / Kalyanee Viraswami-Appanna / Bharani Dharan -- 10.1.3.Conventional PFS Analysis and Interval-Censored Methods / Chen Hu / Kalyanee Viraswami-Appanna / Bharani Dharan -- 10.2.Statistical Methods for PFS Analysis / Chen Hu / Kalyanee Viraswami-Appanna / Bharani Dharan --
Contents note continued: 10.2.1.Conventional Approach / Chen Hu / Kalyanee Viraswami-Appanna / Bharani Dharan -- 10.2.2.Finkelstein's Method for Interval-Censored Data / Chen Hu / Kalyanee Viraswami-Appanna / Bharani Dharan -- 10.3.Monte Carlo Simulation Studies / Chen Hu / Kalyanee Viraswami-Appanna / Bharani Dharan -- 10.3.1.Simulation Setup / Chen Hu / Kalyanee Viraswami-Appanna / Bharani Dharan -- 10.3.2.Results on Point Estimation / Chen Hu / Kalyanee Viraswami-Appanna / Bharani Dharan -- 10.3.3.Results on Hypothesis Testing / Chen Hu / Kalyanee Viraswami-Appanna / Bharani Dharan -- 10.3.4.Summary of Simulation Results / Chen Hu / Kalyanee Viraswami-Appanna / Bharani Dharan -- 10.4.Discussions and Recommendations / Chen Hu / Kalyanee Viraswami-Appanna / Bharani Dharan -- Acknowledgments / Chen Hu / Kalyanee Viraswami-Appanna / Bharani Dharan -- Appendix: SAS Programs / Chen Hu / Kalyanee Viraswami-Appanna / Bharani Dharan --
Contents note continued: Bibliography / Chen Hu / Kalyanee Viraswami-Appanna / Bharani Dharan -- 11.Bias and Its Remedy in Interval-Censored Time-to-Event Applications / Chen Hu / Kalyanee Viraswami-Appanna / Bharani Dharan -- 11.1.Introduction / Ding-Geng (Din) Chen / Lili Yu / Karl E. Peace / Jianguo Sun -- 11.2.Data and Models / Jianguo Sun / Ding-Geng (Din) Chen / Lili Yu / Karl E. Peace -- 11.2.1.Data Structure / Ding-Geng (Din) Chen / Lili Yu / Karl E. Peace / Jianguo Sun -- 11.2.2.Statistical Models / Ding-Geng (Din) Chen / Lili Yu / Karl E. Peace / Jianguo Sun -- 11.3.Simulation Studies / Ding-Geng (Din) Chen / Lili Yu / Karl E. Peace / Jianguo Sun -- 11.3.1.Simulation Setup / Ding-Geng (Din) Chen / Lili Yu / Karl E. Peace / Jianguo Sun -- 11.3.2.Simulation Results / Ding-Geng (Din) Chen / Lili Yu / Karl E. Peace / Jianguo Sun -- 11.3.3.Coverage Probability on "IntCox" / Ding-Geng (Din) Chen / Lili Yu / Karl E. Peace / Jianguo Sun --
Contents note continued: 11.4.HIV Data Analysis / Ding-Geng (Din) Chen / Lili Yu / Karl E. Peace / Jianguo Sun -- 11.5.Discussions and Conclusions / Ding-Geng (Din) Chen / Lili Yu / Karl E. Peace / Jianguo Sun -- Bibliography / Ding-Geng (Din) Chen / Lili Yu / Karl E. Peace / Jianguo Sun -- 12.Adaptive Decision Making Based on Interval-Censored Data in a Clinical Trial to Optimize Rapid Treatment of Stroke / Ding-Geng (Din) Chen / Lili Yu / Karl E. Peace / Jianguo Sun -- 12.1.Introduction / Peter F. Thall / Hoang Q. Nguyen / Aniko Szabo -- 12.2.Probability Models / Peter F. Thall / Hoang Q. Nguyen / Aniko Szabo -- 12.3.Utilities and Trial Design / Peter F. Thall / Hoang Q. Nguyen / Aniko Szabo -- 12.4.Application / Peter F. Thall / Hoang Q. Nguyen / Aniko Szabo -- 12.5.Simulations / Peter F. Thall / Hoang Q. Nguyen / Aniko Szabo -- 12.6.Discussion / Peter F. Thall / Hoang Q. Nguyen / Aniko Szabo -- Bibliography / Peter F. Thall / Hoang Q. Nguyen / Aniko Szabo --
Contents note continued: 13.Practical Issues on Using Weighted Logrank Tests / Aniko Szabo / Peter F. Thall / Hoang Q. Nguyen -- 13.1.Introduction / Michael P. Fay / Sally A. Hunsberger -- 13.2.Description of Interval-Censored Data and Assumptions for Testing / Michael P. Fay / Sally A. Hunsberger -- 13.2.1.Overview / Michael P. Fay / Sally A. Hunsberger -- 13.2.2.Basic Notation / Michael P. Fay / Sally A. Hunsberger -- 13.2.3.Assessment of Simple Endpoints / Michael P. Fay / Sally A. Hunsberger -- 13.2.4.Composite Endpoints and Interval Censoring / Michael P. Fay / Sally A. Hunsberger -- 13.2.5.Informative Assessment / Michael P. Fay / Sally A. Hunsberger -- 13.3.Rank Tests for Interval-Censored Data / Michael P. Fay / Sally A. Hunsberger -- 13.3.1.Overview / Michael P. Fay / Sally A. Hunsberger -- 13.3.2.Practical Proposal: Ignoring Unscheduled Assessments / Michael P. Fay / Sally A. Hunsberger --
Contents note continued: 13.3.3.Likelihood for Grouped Continuous Model / Michael P. Fay / Sally A. Hunsberger -- 13.3.4.Permutation-Based Rank Tests / Michael P. Fay / Sally A. Hunsberger -- 13.3.5.Score Tests with a High-Dimensional Nuisance Parameter / Michael P. Fay / Sally A. Hunsberger -- 13.3.6.Multiple Imputation Approaches / Michael P. Fay / Sally A. Hunsberger -- 13.3.7.Other Closely Related Methods / Michael P. Fay / Sally A. Hunsberger -- 13.4.Software: "Interval" R Package / Michael P. Fay / Sally A. Hunsberger -- 13.4.1.Using the "Interval" R Package / Michael P. Fay / Sally A. Hunsberger -- 13.4.2.Validation of the "Interval" Package / Michael P. Fay / Sally A. Hunsberger -- 13.5.Simulation with Regular Assessment / Michael P. Fay / Sally A. Hunsberger -- 13.6.Recommendations / Michael P. Fay / Sally A. Hunsberger -- Bibliography / Michael P. Fay / Sally A. Hunsberger --
Contents note continued: 14.glrt - New R Package for Analyzing Interval-Censored Survival Data / Michael P. Fay / Sally A. Hunsberger -- 14.1.Introduction / Qiang Zhao -- 14.2.Generalized Logrank Tests for Comparing Survival Functions / Qiang Zhao -- 14.2.1.Basic Notation / Qiang Zhao -- 14.2.2.Generalized Logrank Test I (gLRT1) / Qiang Zhao -- 14.2.3.Generalized Logrank Test II (gLRT2) / Qiang Zhao -- 14.2.4.Generalized Logrank Test III (gLRT3) / Qiang Zhao -- 14.2.5.Generalized Logrank Test IV (gLRT4 or Score Test) / Qiang Zhao -- 14.3.Software: glrt Package / Qiang Zhao -- 14.4.Applications / Qiang Zhao -- 14.4.1.Conducting Generalized Logrank Tests / Qiang Zhao -- 14.4.2.Estimating the Survival Function / Qiang Zhao -- 14.5.Concluding Remarks / Qiang Zhao -- Bibliography / Qiang Zhao.
Abstract:
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 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"--Provided by publisher.