Description |
1 online resource (322 p.) |
Series |
ICSA Book Series in Statistics |
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ICSA book series in statistics.
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Contents |
Intro -- Preface -- Part I: Introduction and Review (Chapters 1 -3) -- Part II: Emerging Topics in Methodology (Chapters 4 -9) -- Part III: Emerging Topics in Applications (Chapters 10 -15) -- Contents -- Editors and Contributors -- About the Editors -- Contributors -- Part I Introduction and Review -- Overview of Historical Developments in Modeling Interval-Censored Survival Data -- 1 Emerging Interval-Censored Data -- 2 Emerging Methods in Analyzing Interval-Censored Data -- 3 More on Emerging Methods in Analyzing Interval-Censored Data -- References |
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Overview of Recent Advances on the Analysis of Interval-Censored Failure Time Data -- 1 Introduction -- 2 Regression Analysis of Univariate Interval-Censored Failure Time Data -- 2.1 Regression Analysis with Time-Dependent Covariates -- 2.2 Regression Analysis in the Presence of a Cured Subgroup -- 2.3 Variable Section for Interval-Censored Data -- 3 Regression Analysis with Informative Interval Censoring -- 4 Regression Analysis of Clustered and Multivariate Interval-Censored Data -- 5 Other Topics on Regression Analysis of Interval-Censored Data -- 6 Concluding Remarks -- References |
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Predictive Accuracy of Prediction Model for Interval-Censored Data -- 1 Introduction -- 2 Time-dependent AUC -- 2.1 Review of ROC Curve -- 2.2 ROC for Interval Censored Data -- 2.3 Simulation -- 3 Time-Dependent C-index -- 3.1 Review of C-index -- 3.2 C-index for Interval Censored Data -- 3.3 Simulation -- 4 Brier Score -- 4.1 Review of Brier Score -- 4.2 Brier Score for Interval Censored Data -- 4.3 Simulation -- 5 Application to Dementia Dataset -- 6 Concluding Remarks -- Appendix: R code -- References -- Part II Emerging Topics in Methodology |
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A Practical Guide to Exact Confidence Intervals for a Distribution of Current Status Data Using the Binomial Approach -- 1 Introduction -- 2 Current Status Data and Point Estimations -- 2.1 Current Status Data -- 2.2 The R package csci: Current Status Confidence Intervals -- 2.3 Point Estimation for F(t) -- 3 Valid Binomial Approach Confidence Intervals -- 3.1 A Structure of the Valid Confidence Interval for F(t) -- 3.2 A Specific Form of the Functions a(t,n,C) and b(t,n,C) -- 3.3 Choice of mn -- 4 The ABA (Approximate Binomial Approach) Confidence Intervals |
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4.1 The Structure of the ABA Confidence Interval -- 4.2 Choice of m†n -- 4.3 Aesthetic Adjustments -- 5 Simulation Studies -- 5.1 Simulation 1 -- 5.2 Simulation 2 -- 6 Analyzing the Hepatitis A Data in Bulgaria -- 7 Conclusion -- References -- Accelerated Hazards Model and Its Extensions for Interval-Censored Data -- 1 Why Is Accelerated Hazards Model Needed? -- 2 Accelerated Hazards Model with Interval-Censored Data -- 3 Estimation Procedure -- 3.1 Sieve Semiparametric Maximum Likelihood Estimator -- 3.2 Implementation -- 3.3 Choosing the Number of Base Splines -- 4 Large Sample Properties |
Summary |
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 |
Notes |
5 Simulation Study |
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Includes index |
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Online resource; title from PDF title page (SpringerLink, viewed December 13, 2022) |
Subject |
Censored observations (Statistics)
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Statistics -- Methodology
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Censored observations (Statistics)
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Statistics -- Methodology
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Estad��stica.
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Metodologia.
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Genre/Form |
Llibres electr��nics.
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Form |
Electronic book
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Author |
Sun, Jianguo, 1961-
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Chen, Ding-Geng.
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ISBN |
9783031123665 |
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3031123662 |
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