activity
20062022
most citedDose Finding with Escalation with Overdose Control (EWOC) in Cancer Clinical Trials

88 citations · 88 across the 7 of their papers we have counts for

collaborators

7 papers

stat.ME2022

Modeling synergism in early phase cancer trials with drug combination with continuous dose levels: is there an added value?

Mourad Tighiouart, José L. Jiménez, Marcio A. Diniz +1

In parametric Bayesian designs of early phase cancer clinical trials with drug combinations exploring a discrete set of partially ordered doses, several authors claimed that there…

eess.IV2022

Evaluating U-net Brain Extraction for Multi-site and Longitudinal Preclinical Stroke Imaging

Erendiz Tarakci, Joseph Mandeville, Fahmeed Hyder +15

Rodent stroke models are important for evaluating treatments and understanding the pathophysiology and behavioral changes of brain ischemia, and magnetic resonance imaging (MRI) is…

stat.AP2021

Visualizing adverse events in clinical trials using correspondence analysis with R-package visae

Márcio A. Diniz, Gillian Gresham, Sungjin Kim +6

We propose to apply stacked CA using contribution biplots as a tool to explore differences in AE data among treatments in clinical trials. We defined five levels of refinement for…

stat.ME2017

Comparison between continuous and discrete doses using Escalation With Overdose Control

Márcio Augusto Diniz, Mourad Tighiouart, André Rogatko

Although there is an extensive statistical literature showing the disadvantages of discretizing continuous variables, categorization is a common practice in clinical research which…

stat.ME2010★ 88 cited

Dose Finding with Escalation with Overdose Control (EWOC) in Cancer Clinical Trials

Mourad Tighiouart, André Rogatko

Traditionally, the major objective in phase I trials is to identify a working-dose for subsequent studies, whereas the major endpoint in phase II and III trials is treatment effica…

cs.DB2007

Neutrosophic Relational Data Model

Haibin Wang, Rajshekhar Sunderraman, Florentin Smarandache +1

In this paper, we present a generalization of the relational data model based on interval neutrosophic set. Our data model is capable of manipulating incomplete as well as inconsis…