作者：Liu, Dandan; Zheng, Yingye; Prentice, Ross L.; Hsu, Li
作者单位：Vanderbilt University; Fred Hutchinson Cancer Center
摘要：Accurate and individualized risk prediction is critical for population control of chronic diseases such as cancer and cardiovascular disease. Large cohort studies provide valuable resources for building risk prediction models, as the risk factors are collected at the baseline and subjects are followed over time until disease occurrence or termination of the study. However, for rare diseases the baseline risk may not be estimated reliably based on cohort data only, due to sparse events. In this...
作者：Wang, Chao; Liu, Heng; Yao, Jian-feng; Davis, Richard A.; Li, Wai Keung
作者单位：University of Hong Kong; Alphabet Inc.; Google Incorporated; Columbia University
摘要：This article studies theory and inference of an observation-driven model for time series of counts. It is assumed that the observations follow a Poisson distribution conditioned on an accompanying intensity process, which is equipped with a two-regime structure according to the magnitude of the lagged observations. Generalized from the Poisson autoregression, it allows more flexible, and even negative correlation, in the observations, which cannot be produced by the single-regime model. Classi...
