M Bardo, N Hens, S Unkel - Biostatistics, 2024 - academic.oup.com
Random effect models for time-to-event data, also known as frailty models, provide a conceptually appealing way of quantifying association between survival times and of …
X Chen, Y Ping, J Sun - Statistics in Medicine, 2024 - Wiley Online Library
In clinical studies, the risk of a disease may dramatically change when some biological indexes of the human body exceed some thresholds. Furthermore, the differences in …
M Bardo, S Unkel - arXiv preprint arXiv:2303.04915, 2023 - arxiv.org
In statistical models for the analysis of time-to-event data, individual heterogeneity is usually accounted for by means of one or more random effects, also known as frailties. In the vast …
In the context of clinical and biomedical studies, joint frailty models have been developed to study the joint temporal evolution of recurrent and terminal events, capturing both the …
Despite breakthroughs and improvement in cervical cancer (cercancer) management strategies over the years, racial and geographical disparities on 5-year relative survival rates …
Background: Hodgkin lymphoma (HL) is one of the best curable malignancies. Randomized controlled studies have validated the benefit of hematopoietic stem cell transplant (HSCT) …