Statistics and Its Interface

Volume 12 (2019)

Number 1

Letter to the Editor

Pages: 71 – 75

DOI: http://dx.doi.org/10.4310/SII.2019.v12.n1.a7

Author

Marco Geraci (Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, S.C., U.S.A.)

Abstract

Galarza, Lachos and Bandyopadhyay (2017) have recently proposed a method of estimating linear quantile mixed models (Geraci and Bottai, 2014) based on a Monte Carlo EM algorithm. They assert that their procedure represents an improvement over the numerical quadrature and non-smooth optimization approach implemented by Geraci (2014). The objective of this note is to demonstrate that this claim is incorrect.We also point out several inaccuracies and shortcomings in their paper which affect other results and conclusions that can be drawn.

Full Text (PDF format)

This research was partially supported by the National Institutes of Health – National Institute of Child Health and Human Development (Grant Number: 1R03HD084807-01A1).

Received 6 December 2017

Published 26 October 2018