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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Selection of terms in random coefficient regression models

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Author(s):
Rocha, Francisco M. M. [1] ; Singer, Julio M. [2]
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: 1
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 type: Research Projects - Thematic Grants