A Bayesian model for estimating multi-state disease progression
نویسندگان
چکیده
منابع مشابه
A Bayesian model for estimating multi-state disease progression
A growing number of individuals who are considered at high risk of cancer are now routinely undergoing population screening. However, noted harms such as radiation exposure, overdiagnosis, and overtreatment underscore the need for better temporal models that predict who should be screened and at what frequency. The mean sojourn time (MST), an average duration period when a tumor can be detected...
متن کاملPredicting the multi-domain progression of Parkinson’s disease: a Bayesian multivariate generalized linear mixed-effect model
BACKGROUND It is challenging for current statistical models to predict clinical progression of Parkinson's disease (PD) because of the involvement of multi-domains and longitudinal data. METHODS Past univariate longitudinal or multivariate analyses from cross-sectional trials have limited power to predict individual outcomes or a single moment. The multivariate generalized linear mixed-effect...
متن کاملRheumatic Heart Disease Severity, Progression and Outcomes: A Multi‐State Model
BACKGROUND Rheumatic heart disease (RHD) remains a disease of international importance, yet little has been published about disease progression in a contemporary patient cohort. Multi-state models provide a well-established method of estimating rates of transition between disease states, and can be used to evaluate the cost-effectiveness of potential interventions. We aimed to create a multi-st...
متن کاملBayesian partitioning for estimating disease risk.
This paper presents a Bayesian nonlinear approach for the analysis of spatial count data. It extends the Bayesian partition methodology of Holmes, Denison, and Mallick (1999, Bayesian partitioning for classification and regression, Technical Report, Imperial College, London) to handle data that involve counts. A demonstration involving incidence rates of leukemia in New York state is used to hi...
متن کاملAgricultural Economic Dynamics in a Bayesian DSGE Model for Iran
I ran’s economy is suffering from sharp and persistent economic shocks and agriculture plays an undeniable role in its economic growth and development. The aim of this paper is to study the relative contributions of various macroeconomic shocks to generating fluctuations in Iran’s agriculture sector. To do so, a Dynamic Stochastic General Equilibrium (DSGE) model, emphasizing on the ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computers in Biology and Medicine
سال: 2017
ISSN: 0010-4825
DOI: 10.1016/j.compbiomed.2016.12.011