activity
20072017
most citedUniformly Balanced Repeated Measurements Designs in the Presence of Subject Dropout

13 citations · 34 across the 7 of their papers we have counts for

collaborators

7 papers

math.ST2017

D-optimal Designs for Multinomial Logistic Models

Xianwei Bu, Dibyen Majumdar, Jie Yang

We consider optimal designs for general multinomial logistic models, which cover baseline-category, cumulative, adjacent-categories, and continuation-ratio logit models, with propo…

stat.AP2014★ 10 cited

Maximin and maximin-efficient event-related fMRI designs under a nonlinear model

Ming-Hung Kao, Dibyen Majumdar, Abhyuday Mandal +1

Previous studies on event-related functional magnetic resonance imaging experimental designs are primarily based on linear models, in which a known shape of the hemodynamic respons…

math.ST2011★ 7 cited

Optimal Designs for 2^k Factorial Experiments with Binary Response

Jie Yang, Abhyuday Mandal, Dibyen Majumdar

We consider the problem of obtaining D-optimal designs for factorial experiments with a binary response and qualitative factors each at two levels. We obtain a characterization…

stat.ME2010

Robustness of Optimal Designs for 2^2 Experiments with Binary Response

Jie Yang, Abhyuday Mandal, Dibyen Majumdar

We consider an experiment with two qualitative factors at 2 levels each and a binary response, that follows a generalized linear model. In Mandal, Yang and Majumdar (2010) we obtai…

stat.ME2010★ 3 cited

Optimal Designs for Two-Level Factorial Experiments with Binary Response

Abhyuday Mandal, Jie Yang, Dibyen Majumdar

We consider the problem of obtaining locally D-optimal designs for factorial experiments with qualitative factors at two levels each with binary response. Our focus is primarily on…

math.ST2008★ 1 cited

Optimal designs for mixed models in experiments based on ordered units

Dibyen Majumdar, John Stufken

We consider experiments for comparing treatments using units that are ordered linearly over time or space within blocks. In addition to the block effect, we assume that a trend eff…