A strategy for optimal fitting of multiplicative and additive hazards regression models
F Lefebvre, R Giorgi - BMC Medical Research Methodology, 2021 - Springer
… used models for this purpose focus directly on the hazard function and can be divided into
two types: multiplicative hazards regression models and additive hazards regression models. …
two types: multiplicative hazards regression models and additive hazards regression models. …
Bayesian adaptive lasso for additive hazard regression with current status data
C Wang, Q Li, X Song, X Dong - Statistics in Medicine, 2019 - Wiley Online Library
… Moreover, a majority of existing variable selection procedures for survival models are
developed in a frequentist framework. In this article, we consider additive hazards model in the …
developed in a frequentist framework. In this article, we consider additive hazards model in the …
Doubly robust additive hazards models to estimate effects of a continuous exposure on survival
… structural model and outcome regression with correct and incorrect model specifications
using simulations. We applied doubly robust additive hazard models to the estimation of hazard …
using simulations. We applied doubly robust additive hazard models to the estimation of hazard …
A new method for regression analysis of interval-censored data with the additive hazards model
P Wang, Y Zhou, J Sun - Journal of the Korean Statistical Society, 2020 - Springer
… The additive hazards model is one of the most popular … In this paper, we will discuss
regression analysis of interval-censored failure time data under the additive hazards model. …
regression analysis of interval-censored failure time data under the additive hazards model. …
[HTML][HTML] Applying additive hazards models for analyzing survival in patients with colorectal cancer in Fars Province, Southern Iran
F Madadizadeh, A Ghanbarnejad… - Asian Pacific journal …, 2017 - ncbi.nlm.nih.gov
… Additive hazards regression models take priority over the popular Cox … the additive hazards
models consisted of Aalen’s additive hazards model, Lin and Ying’s additive hazards model …
models consisted of Aalen’s additive hazards model, Lin and Ying’s additive hazards model …
Regression analysis of additive hazards model with sparse longitudinal covariates
Z Sun, H Cao, L Chen - Lifetime Data Analysis, 2022 - Springer
… hazards model, additive hazards model assumes an additive relationship between covariates
and hazard … The additive hazards model has sound biological and empirical bases, …
and hazard … The additive hazards model has sound biological and empirical bases, …
Detecting severe weather trends using an additive regressive convective hazard model (AR-CHaMo)
AT Rädler, P Groenemeijer, E Faust… - Journal of Applied …, 2018 - journals.ametsoc.org
… detect multidecadal trends in hazard frequency. The modeling framework is based on an
additive logistic regression for observed hazards that exploits predictors derived from numerical …
additive logistic regression for observed hazards that exploits predictors derived from numerical …
Maximum likelihood estimation in the additive hazards model
… in any detail in the context of the additive hazards model, since no analytical expression for
the … The objective of this paper is to derive the MLE for the additive hazards model and to …
the … The objective of this paper is to derive the MLE for the additive hazards model and to …
A parametric additive hazard model for time-to-event analysis
… As a remedy, we propose a new parametric additive hazard model that allows results to be
… on the hazard scale. Being an essentially parametric model, survival, hazard and probability …
… on the hazard scale. Being an essentially parametric model, survival, hazard and probability …
Identification of Prognostic Biomarkers for Breast Cancer Metastasis Using Penalized Additive Hazards Regression Model
… models for this disease using additive risks model. The aim of the present study was to focus
on utilization of penalized additive hazards regression model … a diagnostic model to predict …
on utilization of penalized additive hazards regression model … a diagnostic model to predict …
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