A Zero‐Inflated Regression Model for Grouped Data
提出一种适用于分组数据的零膨胀区间回归模型，同时估计访问全科医生的概率和频率，并分析社会经济因素的影响。
Abstract We introduce the (panel) zero‐inflated interval regression (ZIIR) model, which is ideally suited when data are in the form of groups, and there is an ‘excess’ of zero observations. We apply our new modelling framework to the analysis of visits to the general practitioner (GP) using individual‐level data from the British Household Panel Survey. The ZIIR model simultaneously estimates the probability of visiting the GP and the frequency of visits (defined by given numerical intervals in the data). The results show that different socio‐economic factors influence the probability of visiting the GP and the frequency of visits.