Effect on Prediction when Modeling Covariates in Bayesian Nonparametric Models [0.03%]
Bayesian非参数模型中引入协变量对预测的影响
Alejandro Cruz-Marcelo,Gary L Rosner,Peter Müller et al.
Alejandro Cruz-Marcelo et al.
In biomedical research, it is often of interest to characterize biologic processes giving rise to observations and to make predictions of future observations. Bayesian nonparametric methods provide a means for carrying out Bayesian inferenc...
Heejung Bang,Hongwei Zhao
Heejung Bang
Cost-effectiveness analysis (CEA) is a type of economic evaluation that examines the costs and health outcomes of alternative strategies and has been extensively applied in health sciences. The incremental cost-effectiveness ratio (ICER), w...
Evaluating a New Risk Marker's Predictive Contribution in Survival Models [0.03%]
评估生存模型中新风险标志物的预测贡献
M Liu,A S Kapadia,C J Etzel
M Liu
Although the area under the receiver operating characteristic (ROC) curve (AUC) is the most popular measure of the performance of prediction models, it has limitations, especially when it is used to evaluate the added discrimination of a ne...
Bayesian Regression Models for the Quality Adjusted Lifetime Data with Zero Time Duration Health States [0.03%]
带有零时间持续期健康状态的基于质量调整生命年的贝叶斯回归模型
Kaushal K Mishra,Sujit K Ghosh
Kaushal K Mishra
Clinical trial studies are often conducted in which quality of life is accessed and recorded along with other clinically measurable endpoints. Consideration of the quality of life in addition to the survival time in the statistical analysis...
Suraj P Anand,Sujit K Ghosh
Suraj P Anand
The standard approach to investigating a drug for its potential for QT prolongation is to construct a 90% two-sided (or a 95% one-sided) confidence interval (CI), for the difference in baseline corrected mean QTc (heart-rate corrected versi...
Hyeyoung Lee,Sujit K Ghosh
Hyeyoung Lee
Researchers in diverse areas such as environmental and health sciences are increasingly working with data collected across space and time. The space-time processes that are generally used in practice are often complicated in the sense that ...
Multivariate spatial-temporal modeling and prediction of speciated fine particles [0.03%]
多变量时空模型构建及细颗粒物预测
Jungsoon Choi,Montserrat Fuentes,Brian J Reich et al.
Jungsoon Choi et al.
Fine particulate matter (PM(2.5)) is an atmospheric pollutant that has been linked to serious health problems, including mortality. PM(2.5) is a mixture of pollutants, and it has five main components: sulfate, nitrate, total carbonaceous ma...