A flexible parametric approach for analyzing arbitrarily censored data that are potentially subject to left truncation under the proportional hazards model

PW Withana Gamage, CS McMahan, L Wang - Lifetime data analysis, 2023 - Springer
The proportional hazards (PH) model is, arguably, the most popular model for the analysis of
lifetime data arising from epidemiological studies, among many others. In such applications …

Neural network on interval-censored data with application to the prediction of Alzheimer's disease

T Sun, Y Ding - Biometrics, 2023 - academic.oup.com
Alzheimer's disease (AD) is a progressive and polygenic disorder that affects millions of
individuals each year. Given that there have been few effective treatments yet for AD, it is …

Maximum likelihood estimation for length-biased and interval-censored data with a nonsusceptible fraction

P Shen, Y Peng, HJ Chen, CM Chen - Lifetime Data Analysis, 2022 - Springer
Left-truncated data are often encountered in epidemiological cohort studies, where
individuals are recruited according to a certain cross-sectional sampling criterion. Length …

Combined estimating equation approaches for the additive hazards model with left-truncated and interval-censored data

T Lu, S Li, L Sun - Lifetime Data Analysis, 2023 - Springer
Interval-censored failure time data arise commonly in various scientific studies where the
failure time of interest is only known to lie in a certain time interval rather than observed …

Failure analysis for truncated and fully censored lifetime data with a hierarchical grid algorithm

Q Li, D Li, B Huang, Z Jiang, E Mingcheng, J Ma - IEEE Access, 2020 - ieeexplore.ieee.org
In the field of failure analysis and reliability evaluation, truncated and censored lifetime data
due to observational constraints and periodic inspection schemes are highly common. The …

Penalized likelihood estimation of a mixture cure Cox model with partly interval censoring—An application to thin melanoma

A Webb, J Ma, SN Lô - Statistics in medicine, 2022 - Wiley Online Library
Time‐to‐event data in medical studies may involve some patients who are cured and will
never experience the event of interest. In practice, those cured patients are right censored …

Imputation methods for the semiparametric transformation models with doubly-truncated and interval-censored data

P Shen, H Hsu - Communications in Statistics-Simulation and …, 2023 - Taylor & Francis
Interval sampling is often used in epidemiological studies. With interval sampling, data are
collected only from individuals who fail within a certain calendar time interval. Such interval …

Efficient estimation for the proportional hazards model with left‐truncated and interval‐censored data

T Lu, H Li, S Li, L Sun - Stat, 2023 - Wiley Online Library
Interval‐censored data often arise in prospective studies involving periodical follow‐up for
monitoring the failure event occurrence. In addition to censoring, left truncation also occurs if …

Inference on semi-parametric transformation model with a pairwise likelihood based on left-truncated and interval-censored data

Y Lou, P Wang, J Sun - Journal of Nonparametric Statistics, 2023 - Taylor & Francis
Semi-parametric transformation models provide a general and flexible class of models for
regression analysis of failure time data and many methods have been developed for their …

Robust restricted Liu estimator in censored semiparametric linear models

H Emami, K Dadkhah - Journal of Statistical Computation and …, 2022 - Taylor & Francis
It is not unusual to have outliers and multicollinearity simultaneously in censored
semiparametric linear models. In this paper for dealing with multicollinearity and outliers we …