Accelerated hazard prediction based on age time-scale for women diagnosed with breast cancer using a deep learning method

Z Ramezani, JY Charati, R Alizadeh-Navaei… - BMC Medical Informatics …, 2024 - Springer
Breast cancer is the most common cancer in women. Previous studies have investigated
estimating and predicting the proportional hazard rates and survival in breast cancer. This …

Semiparametric sieve maximum likelihood estimation under cure model with partly interval censored and left truncated data for application to spontaneous abortion

Y Wu, CD Chambers, R Xu - Lifetime data analysis, 2019 - Springer
This work was motivated by observational studies in pregnancy with spontaneous abortion
(SAB) as outcome. Clearly some women experience the SAB event but the rest do not. In …

Semiparametric sieve maximum likelihood estimation for accelerated hazards model with interval-censored data

Z Szabo, X Liu, L Xiang - Journal of Statistical Planning and Inference, 2020 - Elsevier
Interval censored data arise from many clinical studies when the failure event cannot be
directly observed. Methods developed in the literature for semiparametric regression …

A class of semiparametric transformation cure models for interval-censored failure time data

S Li, T Hu, X Zhao, J Sun - Computational Statistics & Data Analysis, 2019 - Elsevier
This paper discusses regression analysis of interval-censored failure time data with a cured
subgroup under a general class of semiparametric transformation cure models. For …

Generalized accelerated hazards mixture cure models with interval-censored data

X Liu, L Xiang - Computational Statistics & Data Analysis, 2021 - Elsevier
Existing semiparametric mixture cure models with interval-censored data often assume a
survival model, such as the Cox proportional hazards model, proportional odds model …

Variable Selection for Interval‐censored Failure Time Data

M Du, J Sun - International Statistical Review, 2022 - Wiley Online Library
Variable 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 …

Sieve Estimation of the Additive Hazards Model with Bivariate Current Status Data

C Zhang, H Huang, D Bandyopadhyay… - Statistics in …, 2024 - Springer
In this paper, we study sieve maximum likelihood estimators of both finite and infinite
dimensional parameters in the marginal additive hazards models for bivariate current status …

Regression modelling of interval censored data based on the adaptive ridge procedure

O Bouaziz, E Lauridsen, G Nuel - Journal of Applied Statistics, 2022 - Taylor & Francis
A new method for the analysis of time to ankylosis complication on a dataset of replanted
teeth is proposed. In this context of left-censored, interval-censored and right-censored data …

A semiparametric regression cure model for doubly censored data

P Wang, X Tong, J Sun - Lifetime Data Analysis, 2018 - Springer
This paper discusses regression analysis of doubly censored failure time data when there
may exist a cured subgroup. By doubly censored data, we mean that the failure time of …

EM algorithm for the additive risk mixture cure model with interval-censored data

X Wang, Z Wang - Lifetime Data Analysis, 2021 - Springer
Interval-censored failure time data arise in a number of fields and many authors have
recently paid more attention to their analysis. However, regression analysis of interval …