| Full text | |
| Author(s): |
Total Authors: 2
|
| Affiliation: | [1] Univ Fed Sao Paulo, Escola Paulista Polit Econ & Neocios, Sao Paulo - Brazil
[2] Univ Sao Paulo, Dept Estat, Sao Paulo - Brazil
Total Affiliations: 2
|
| Document type: | Journal article |
| Source: | Journal of Applied Statistics; v. 45, n. 2, p. 225-242, 2018. |
| Web of Science Citations: | 2 |
| Abstract | |
The selection of suitable terms in random coefficient regression models is a challenging problem to practitioners. Although many techniques, ranging from those with a theoretical flavour to those with an exploratory spirit, have been proposed for such purposes, no particular one may be considered as a paradigm. In fact, many authors advocate that they should be used in a complementary way. We consider exploratory methods based on fitting standard regression models to the individual response profiles or to the rows of the sample within-units covariance matrix (for balanced data) that may serve as additional tools in the process of selecting an appropriate model. We evaluate the performance of the proposal via a simulation study and consider applications to two examples in the field of Biostatistics. (AU) | |
| FAPESP's process: | 13/21728-2 - The use of modern autopsy techniques to investigate human diseases (MODAU) |
| Grantee: | Paulo Hilário Nascimento Saldiva |
| Support Opportunities: | Research Projects - Thematic Grants |