[KIRJA][B] Cure models: methods, applications, and implementation

Y Peng, B Yu - 2021 - taylorfrancis.com
Cure Models: Methods, Applications and Implementation is the first book in the last 25 years
that provides a comprehensive and systematic introduction to the basics of modern cure …

The chances of hepatic resection curing hepatocellular carcinoma

A Cucchetti, J Zhong, S Berhane, H Toyoda, KQ Shi… - Journal of …, 2020 - Elsevier
Background & Aims The popular sense of the word “cure” implies that a patient treated for a
specific disease will return to have the same life expectancy as if he/she had never had the …

Development and assessment of a model for predicting individualized outcomes in patients with oropharyngeal cancer

LJ Beesley, AG Shuman, ML Mierzwa… - JAMA Network …, 2021 - jamanetwork.com
Importance Recent insights into the biologic characteristics and treatment of oropharyngeal
cancer may help inform improvements in prognostic modeling. A bayesian multistate model …

Joint frailty modeling of time-to-event data to elicit the evolution pathway of events: a generalized linear mixed model approach

SK Ng, R Tawiah, GJ Mclachlan, V Gopalan - Biostatistics, 2023 - academic.oup.com
Multimorbidity constitutes a serious challenge on the healthcare systems in the world, due to
its association with poorer health-related outcomes, more complex clinical management …

Estimating lengths-of-stay of hospitalised COVID-19 patients using a non-parametric model: a case study in Galicia (Spain)

A López-Cheda, MA Jácome, R Cao… - Epidemiology & …, 2021 - cambridge.org
Estimating the lengths-of-stay (LoS) of hospitalised COVID-19 patients is key for predicting
the hospital beds' demand and planning mitigation strategies, as overwhelming the …

Cure models with adaptive activation for modeling cancer survival

Q Jiang, S Basu - Statistical Methods in Medical Research, 2024 - journals.sagepub.com
We propose a class of cure rate models motivated by analysis of colon cancer and triple-
negative breast cancer survival data. This class is indexed by an adaptive activation …

An analytic framework for exploring sampling and observation process biases in genome and phenome‐wide association studies using electronic health records

LJ Beesley, LG Fritsche, B Mukherjee - Statistics in Medicine, 2020 - Wiley Online Library
Large‐scale association analyses based on observational health care databases such as
electronic health records have been a topic of increasing interest in the scientific community …

Individualized survival prediction for patients with oropharyngeal cancer in the human papillomavirus era

LJ Beesley, PG Hawkins, LM Amlani, EL Bellile… - Cancer, 2019 - Wiley Online Library
Background Accurate, individualized prognostication in patients with oropharyngeal
squamous cell carcinoma (OPSCC) is vital for patient counseling and treatment decision …

Multiple imputation strategies for missing event times in a multi‐state model analysis

E Curnow, RA Hughes, K Birnie, K Tilling… - Statistics in …, 2024 - Wiley Online Library
In clinical studies, multi‐state model (MSM) analysis is often used to describe the sequence
of events that patients experience, enabling better understanding of disease progression. A …

Time-to-event analysis when the event is defined on a finite time interval

C Lee, SJ Lee, S Haneuse - Statistical methods in medical …, 2020 - journals.sagepub.com
Acute graft-versus-host disease (GVHD) is a frequent complication following hematopoietic
cell transplantation (HCT). Research on risk factors for acute GVHD has tended to ignore …