Results 251 to 260 of about 783,235 (314)

Cure rate model with interval censored data

Statistics in Medicine, 2007
AbstractIn cancer trials, a significant fraction of patients can be cured, that is, the disease is completely eliminated, so that it never recurs. In general, treatments are developed to both increase the patients' chances of being cured and prolong the survival time among non‐cured patients.
Yang-Jin, Kim, Myoungshic, Jhun
openaire   +2 more sources

A pairwise pseudo‐likelihood approach for left‐truncated and interval‐censored data under the Cox model

Biometrics, 2020
Left truncation commonly occurs in many areas, and many methods have been proposed in the literature for the analysis of various types of left‐truncated failure time data.
Peijie Wang, Danning Li, Jianguo Sun
semanticscholar   +1 more source

Quantile regression for interval censored data

Communications in Statistics - Theory and Methods, 2017
ABSTRACTAs direct generalization of the quantile regression for complete observed data, an estimation method for quantile regression models with interval censored data is proposed, and the property of consistency is obtained. The property of asymptotic normality is also established with a bias converging to zero, and to reduce the bias, two bias ...
Xiuqing Zhou, Yanqin Feng, Xiuli Du
semanticscholar   +2 more sources

Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS

, 2017
K. Bogaerts, A. Komárek, E. Lesaffre
semanticscholar   +2 more sources

Variable Selection for Interval‐censored Failure Time Data

International Statistical Review, 2021
SummaryVariable selection for interval‐censored failure time data has recently attracted a great deal of attention along with the analysis of interval‐censored data in both method developments and practical applications. Interval‐censored data are a general type of time‐to‐event or failure time data where the failure time of interest is known or ...
Mingyue Du, Jianguo Sun
openaire   +1 more source

Penalized estimation of semiparametric transformation models with interval-censored data and application to Alzheimer’s disease

Statistical Methods in Medical Research, 2019
Variable selection or feature extraction is fundamental to identify important risk factors from a large number of covariates and has applications in many fields.
Shuwei Li, Qiwei Wu, Jianguo Sun
semanticscholar   +1 more source

Defective regression models for cure rate modeling with interval‐censored data

Biometrical journal. Biometrische Zeitschrift, 2019
Regression models in survival analysis are most commonly applied for right‐censored survival data. In some situations, the time to the event is not exactly observed, although it is known that the event occurred between two observed times.
V. Calsavara, A. Rodrigues, Ricardo Rocha, V. Tomazella, F. Louzada   +4 more
semanticscholar   +1 more source

Confidence Intervals Using Censored Data

Technometrics, 1976
Using censored data from some life tests confidence intervals for the scale parameter of underlying life distributions are obtained. The life distributions are assumed to be Increasing Failure Rate (Decreasing Failure Rate) type. Some well known results of Epstein and Sobel on confidence intervals for the scale parameter of the exponential distribution
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Power Piecewise Exponential Model for Interval-Censored Data

Journal of Statistical Theory and Practice, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Paulo Cerqueira dos Santos Junior, Silvana Schneider   +1 more
openaire   +1 more source

Analysis of length‐biased and partly interval‐censored survival data with mismeasured covariates

Biometrics, 2023
In this paper, we analyze the length‐biased and partly interval‐censored data, whose challenges primarily come from biased sampling and interfere induced by interval censoring.
Li‐Pang Chen, Bangxu Qiu
semanticscholar   +1 more source