Document Type
Article
Publication Date
4-1-2010
Journal / Book Title
Computational Statistics & Data Analysis
Abstract
To compare two treatment effects, which can be described as the difference of the parameters in two linear models, we propose an empirical likelihood-based method to make inference for the difference. Our method is free of the assumptions of normally distributed and homogeneous errors, and equal sample sizes. The empirical likelihood ratio for the difference of the parameters of interest is shown to be asymptotically chi-squared. Simulation experiments illustrate that our method outperforms the published ones. Our method is used to analyze a data set from a drug study.
DOI
10.1016/j.csda.2009.10.018
MSU Digital Commons Citation
Su, Haiyan and Liang, Hua, "An Empirical Likelihood-Based Method for Comparison of Treatment Effects-Test of Equality of Coefficients in Linear Models" (2010). Department of Applied Mathematics and Statistics Faculty Scholarship and Creative Works. 11.
https://digitalcommons.montclair.edu/appliedmath-stats-facpubs/11
Rights
NIH Public Access Author manuscript; available in PMC 2011 April 1. Published in final edited form as: Comput Stat Data Anal. 2010 April 1; 54(4): 1079–1088. doi:10.1016/j.csda.2009.10.018.