Emerging Topics in Modeling Interval-Censored Survival Data - Softcover

Softcover

ISBN 10: 3031123670 ISBN 13: 9783031123672

Publisher: Springer, 2022

Synopsis

- 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.

Edition details

• Publisher: Springer
• Publication date: 2022
• Language: English
• ISBN 10: 3031123670
• ISBN 13: 9783031123672
• Binding: Paperback
• Number of pages: 332
• Editor: Ding-Geng Chen Chen, Jianguo Sun Sun