[HTML][HTML] Overdiagnosis in the population-based organized breast cancer screening program estimated by a non-homogeneous multi-state model: a cohort study using …
WYY Wu, S Törnberg, KM Elfström, X Liu… - Breast Cancer …, 2018 - Springer
Background Overdiagnosis, defined as the detection of a cancer that would not become
clinically apparent in a woman's lifetime without screening, has become a growing concern …
clinically apparent in a woman's lifetime without screening, has become a growing concern …
A general goodness‐of‐fit test for Markov and hidden Markov models
AC Titman, LD Sharples - Statistics in medicine, 2008 - Wiley Online Library
Markov models are a convenient and useful method of estimating transition rates between
levels of a categorical response variable, such as a disease stage, which changes over time …
levels of a categorical response variable, such as a disease stage, which changes over time …
Modeling longitudinal dynamics of comorbidities
B Maag, S Feuerriegel, M Kraus… - Proceedings of the …, 2021 - dl.acm.org
In medicine, comorbidities refer to the presence of multiple, co-occurring diseases. Due to
their co-occurring nature, the course of one comorbidity is often highly dependent on the …
their co-occurring nature, the course of one comorbidity is often highly dependent on the …
Screen-and-treat strategies for albuminuria to prevent cardiovascular and renal disease: cost-effectiveness of nationwide and targeted interventions based on analysis …
C Boersma, RT Gansevoort, P Pechlivanoglou… - Clinical …, 2010 - Elsevier
Background: Albuminuria is a marker for renal and cardiovascular (CV) risk, allowing early
diagnosis of subjects with elevated renal and CV risk. Objective: This study aimed to …
diagnosis of subjects with elevated renal and CV risk. Objective: This study aimed to …
Mixture of input-output hidden markov models for heterogeneous disease progression modeling
A particular challenge for disease progression modeling is the heterogeneity of a disease
and its manifestations in the patients. Existing approaches often assume the presence of a …
and its manifestations in the patients. Existing approaches often assume the presence of a …
[HTML][HTML] Parameter estimates for invasive breast cancer progression in the Canadian National Breast Screening Study
S Taghipour, D Banjevic, AB Miller… - British journal of …, 2013 - nature.com
Background: The aim of screening is to detect a cancer in the preclinical state. However, a
false-positive or a false-negative test result is a real possibility. Methods: We describe …
false-positive or a false-negative test result is a real possibility. Methods: We describe …
Transitions between tobacco and cannabis use among adolescents: a multi-state modeling of progression from onset to daily use
A Mayet, S Legleye, N Chau, B Falissard - Addictive behaviors, 2011 - Elsevier
Use of a given substance may follow a stage process leading from onset to regular use, and
use of one substance can be strongly associated with use of another. The aim of this study …
use of one substance can be strongly associated with use of another. The aim of this study …
[HTML][HTML] Machine learning approaches to classify self-reported rheumatoid arthritis health scores using activity tracker data: longitudinal observational study
Background: The increasing use of activity trackers in mobile health studies to passively
collect physical data has shown promise in lessening participation burden to provide …
collect physical data has shown promise in lessening participation burden to provide …
[HTML][HTML] Estimating the contribution of HIV-infected adults to household pneumococcal transmission in South Africa, 2016–2018: A hidden Markov modelling study
Human immunodeficiency virus (HIV) infected adults are at a higher risk of pneumococcal
colonisation and disease, even while receiving antiretroviral therapy (ART). To help …
colonisation and disease, even while receiving antiretroviral therapy (ART). To help …
[HTML][HTML] Early detection and risk assessment for chronic disease with irregular longitudinal data analysis
Early detection and risk assessment of complex chronic disease based on longitudinal
clinical data is helpful for doctors to make early diagnosis and monitor the disease …
clinical data is helpful for doctors to make early diagnosis and monitor the disease …