[PDF][PDF] The predictive value of modified-DeepSurv in overall survivals of patients with lung cancer

J Lei, X Xu, J Xu, J Liu, Y Wang, C Wu, R Zhang… - Iscience, 2023 - cell.com
The traditional prognostic model may induce the possibility of incorrect assessment of
mortality risk under the assumption of linearity. It is urgent to develop a non-linearity precise …

Approximate profile likelihood estimation for Cox regression with covariate measurement error

Z Cao, MY Wong - Statistics in Medicine, 2022 - Wiley Online Library
In nutritional epidemiology, measurement error in covariates is a well‐known problem since
dietary intakes are usually assessed through self‐reporting. In this article, we consider an …

Moment estimation method of parameters in additive measurement error model

Z Cao, MY Wong - Computer Methods and Programs in Biomedicine, 2021 - Elsevier
Background: In nutritional epidemiology, covariates in some studies such as the EPIC are
prone to measurement error. Estimation of unknown parameters in most measurement error …

基于深度学习算法开发和验证的肝细胞癌预后预测模型: 一项大样本队列和外部验证研究

韦英婷, 覃家盟, 樊金莲, 梁敏, 周海华, 翚东… - 中国癌症防治杂志, 2021 - zgazfz.com
目的基于深度学习算法开发和验证可评估肝细胞癌(hepatocellular carcinoma, HCC)
患者预后的预测模型, 并评估其价值. 方法选择2011 年1 月—2015 年12 月美国国立癌症研究所 …

[PDF][PDF] The use of cox and piecewise exponential models in the determination of renal failure

AA Olayinka, AA Abiodun, AI Ishaq - Benin J. Stat, 2020 - bjs-uniben.org
Cox Proportional hazards model has played a great role in epidemiological and clinical
researches in examining the influence of covariates on hazard distributions when no …

[图书][B] Statistical Methods for Dealing with Measurement Error in Covariates: EPIC-InterAct Study

Z Cao - 2021 - search.proquest.com
In Statistics, most theories are developed to deal with statistical modeling and analysis when
observations are assumed to have true values of covariates. However, for the EPIC-InterAct …