2 citations · 4 across the 5 of their papers we have counts for
5 papers
Improved inference for MCP-Mod approach for time-to-event endpoints with small sample sizes
Márcio A. Diniz, Diego I. Gallardo, Tiago M. Magalhães
The Multiple Comparison Procedures with Modeling Techniques (MCP-Mod) framework has been recently approved by the U.S. Food and Administration and European Medicines Agency as fit-…
The shared weighted Lindley frailty model for cluster failure time data
Diego I. Gallardo, Marcelo Bourguignon
The primary goal of this paper is to introduce a novel frailty model based on the weighted Lindley (WL) distribution for modeling clustered survival data. We study the statistical…
A parametric quantile beta regression for modeling case fatality rates of COVID-19
Marcelo Bourguignon, Diego I. Gallardo, Helton Saulo
Motivated by the case fatality rate (CFR) of COVID-19, in this paper, we develop a fully parametric quantile regression model based on the generalized three-parameter beta (GB3) di…
Quantile Regression for positive data using a general class of distributions
Diego I. Gallardo, Manoel Santos-Neto
This paper presents a general class of quantile regression models for positive continuous data. In this class of models we consider that the response variable has a IRON distributi…
Parametric quantile regression models for fitting double bounded response with application to COVID-19 mortality rate data
Diego I. Gallardo, Marcelo Bourguignon, Yolanda M. Gómez +1
In this paper, we develop two fully parametric quantile regression models, based on power Johnson SB distribution Cancho et al. (2020), for modeling unit interval response at diffe…