activity
20092022
most citedAsymptotics in response-adaptive designs generated by a two-color, randomly reinforced urn

61 citations · 70 across the 8 of their papers we have counts for

collaborators

9 papers

stat.ME2022

The Cost of Sequential Adaptation and the Lower Bound for Mean Squared Error

Sergey Tarima, Nancy Flournoy

Informative interim adaptations lead to random sample sizes. The random sample size becomes a component of the sufficient statistic and estimation based solely on observed samples…

stat.AP2022

Coping with Information Loss and the Use of Auxiliary Sources of Data: A Report from the NISS Ingram Olkin Forum Series on Unplanned Clinical Trial Disruptions

Silvia Calderazzo, Sergey Tarima, Carissa Reid +9

Clinical trials disruption has always represented a non negligible part of the ending of interventional studies. While the SARS-CoV-2 (COVID-19) pandemic has led to an impressive a…

stat.ME2022★ 3 cited

Estimands and their Estimators for Clinical Trials Impacted by the COVID-19 Pandemic: A Report from the NISS Ingram Olkin Forum Series on Unplanned Clinical Trial Disruptions

Kelly Van Lancker, Sergey Tarima, Jonathan Bartlett +8

The COVID-19 pandemic continues to affect the conduct of clinical trials globally. Complications may arise from pandemic-related operational challenges such as site closures, trave…

stat.ME2021

Most Powerful Test Sequences with Early Stopping Options

Sergey Tarima, Nancy Flournoy

Sequential likelihood ratio testing is found to be most powerful in sequential studies with early stopping rules when grouped data come from the one-parameter exponential family. F…

stat.ME2019★ 2 cited

Effect of Interim Adaptations in Group Sequential Designs

Sergey Tarima, Nancy Flournoy

This manuscript investigates unconditional and conditional-on-stopping maximum likelihood estimators (MLEs), information measures and information loss associated with conditioning…

stat.ME2019★ 1 cited

Random Norming Aids Analysis of Non-linear Regression Models with Sequential Informative Dose Selection

Zhantao Lin, Nancy Flournoy, William F. Rosenberger

A two-stage adaptive optimal design is an attractive option for increasing the efficiency of clinical trials. In these designs, based on interim data, the locally optimal dose is c…