Titlebook: Emerging Topics in Modeling Interval-Censored Survival Data; Jianguo Sun,Ding-Geng Chen Book 2022 The Editor(s) (if applicable) and The Au

Daily-Value

Misclassification Simulation Extrapolation Procedure for Interval-Censored Log-Logistic Accelerated l-censored survival data through Monte-Carlo simulations and real data analysis. This investigation focuses on the log-logistic accelerated failure time (AFT) model since the log-logistic distribution plays an important role in evaluating non-monotonic hazards for survival data.

南極

Overview of Historical Developments in Modeling Interval-Censored Survival Datadesigns. However, the well-developed methods that are used for right-censored survival data analysis could not be applied. This chapter follows on the methodological development of this area, starting in 1970 from a broad historical perspective.

樣式

Predictive Accuracy of Prediction Model for Interval-Censored Datacrimination measure. Also, Brier score is dealt to evaluate overall performance for the prediction model. We aim to provide clarity of each method and identify software tools to carry out analysis in practice. We illustrate the methods using a dementia dataset.

取之不竭

temperate

Joint Modeling for Longitudinal and Interval-Censored Survival Data: Application to IMPI Multi-Centeling framework has mainly been focused on right-censored data in the survival outcome for the last decade. This chapter is then aimed to extend the classical joint modeling framework to interval-censored data using a cardiology multi-center clinical trial. We illustrate our approach using . statistical software.

Legion

Overview of Historical Developments in Modeling Interval-Censored Survival Datadescription of how the interval-censored data arise from the studies where the subjects are followed periodically, and the time to the event of interest cannot be observed exactly. From a historical perspective, such data become more common with the emergence of new clinical and epidemiologic study

Cougar

Overview of Recent Advances on the Analysis of Interval-Censored Failure Time Datacur in many areas, including demographical studies, epidemiological studies, medical or public health research and social science. In contrast to the historic review of Chap. 1, this chapter will provide a brief review of some recent advances on several topics concerning the analysis of interval-cen

Microgram

Predictive Accuracy of Prediction Model for Interval-Censored Datatcomes. In this chapter, our purpose is to review several methods to evaluate prediction models and to compare their performance in a context of interval censored data. This chapter provides conceptual and practical explanation of statistical methods for the time-dependent ROC and C-index as the dis

松馳

A Practical Guide to Exact Confidence Intervals for a Distribution of Current Status Data Using the were based on asymptotic distributions, but our new approach is based on binomial properties. This binomial approach can be applied with continuous and discrete assessment distributions. We discuss confidence interval (CI) versions using the binomial approach, a valid (i.e., exact) CI and an ABA (A

languor

Accelerated Hazards Model and Its Extensions for Interval-Censored Datanal odds and accelerated failure time models. There are cases in practice that such conventional model assumptions may be inappropriate for modeling survival outcomes of interest. In this chapter, we introduce an alternative, the accelerated hazards model, for the analysis of interval-censored data