图书简介
This book primarily aims to discuss emerging topics in statistical methods and to booster research, education, and training to advance statistical modeling on interval-censored survival data. Commonly collected from public health and biomedical research, among other sources, interval-censored survival data can easily be mistaken for typical right-censored survival data, which can result in erroneous statistical inference due to the complexity of this type of data. The book invites a group of internationally leading researchers to systematically discuss and explore the historical development of the associated methods and their computational implementations, as well as emerging topics related to interval-censored data. It covers a variety of topics, including univariate interval-censored data, multivariate interval-censored data, clustered interval-censored data, competing risk interval-censored data, data with interval-censored covariates, interval-censored data from electric medical records, and misclassified interval-censored data. Researchers, students, and practitioners can directly make use of the state-of-the-art methods covered in the book to tackle their problems in research, education, training and consultation.
Part I Introduction and Review.- Overview of Historical Developments in Modeling Interval-Censored Survival Data.- Overview of Recent Advances on the Analysis of Interval-Censored Failure Time Data.- Predictive accuracy of prediction model for interval censored data.- Part II Emerging Topics in Methodology.- A Practical Guide to Exact Confidence Intervals for a Distribution of Current Status Data Using the Binomial Approach.- Accelerated Hazards Model and its Extensions for Interval-Censored Data.- Maximum Likelihood Estimation of Semiparametric Regression Models with Interval-Censored Data.- Use of the INLA approach for the analysis of interval-censored data.- Copula Models and Diagnostics for Multivariate Interval-Censored Data.- Efficient Estimation of the Additive Risks Model for Interval-Censored Data.- Part III Emerging Topics in Applications.- Modeling and Analysis of Chronic Disease Processes Under Intermittent Observation.- Case-cohort studies with time-dependent covariates and interval-censored outcome.- The BivarIntCensored: An R Package for Nonparametric Inference of Bivariate Interval-Censored Data.- Joint Modeling for Longitudinal and Interval-Censored Survival Data: Application to IMPI Multi-Center HIV/AIDS Clinical Trial.- Regression analysis with interval-censored covariates. Application to liquid chromatography.- Misclassification Simulation Extrapolation Procedure for Interval-Censored Log-Logistic Accelerated Failure Time Model.
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