Abstract
In this paper, we proposed a semi-parametric single-index two-part regression model to weaken assumptions in parametric regression methods that were frequently used in the analysis of skewed data with additional zero values. The estimation procedure for the parameters of interest in the model was easily implemented. The proposed estimators were shown to be consistent and asymptotically normal. Through a simulation study, we showed that the proposed estimators have reasonable finite-sample performance. We illustrated the application of the proposed method in one real study on the analysis of health care costs.
Disciplines
Categorical Data Analysis | Health Services Research | Statistical Methodology | Statistical Models | Statistical Theory
Suggested Citation
Zhou, Xiao-Hua and Liang, Hua, "Semi-parametric Single-index Two-Part Regression Models" (December 2004). UW Biostatistics Working Paper Series. Working Paper 235.
https://biostats.bepress.com/uwbiostat/paper235
Included in
Categorical Data Analysis Commons, Health Services Research Commons, Statistical Methodology Commons, Statistical Models Commons, Statistical Theory Commons