Faculty

Institution

Unit

Venue

Dibyen Majumdar

Professor Emeritus

University of Illinois Chicago

Affiliations

College of Liberal Arts and Sciences

Mathematics, Statistics, and Computer Science

Dibyen Majumdar is currently serving as a College Of Liberal Arts And Sciences Professor Emeritus at University of Illinois Chicago.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Dibyen Majumdar

University of Illinois Chicago

Professor Emeritus

You can click a keyword to filter the displayed items

statistics applied statistics statistical methodology optimal experimental design biostatistics statistical theory applied mathematics statistical inference block designs tumor biology statistical models oncology melanoma optimal designs inference mathematical optimization cancer research skin cancer test treatments cancer cells statistical science cancer biology optimal block designs molecular biology vascular biology oncogenes control optimization uveal melanoma binary response medicinal research histopathology tumor suppressors enzyme inhibition machine learning research molecular cancer cancer treatment tumor targeting cancer growth clinical pathology d-optimal designs measurements designs subject dropout redox biology cell death clinical microbiology peptides peptide science apoptosis cancer genomics anti-cancer agents angiogenesis novel therapies breast oncology statistical learning theory statistical analysis test case design predictive modeling ocular disease experimental ophthalmology carceral setting tumoral pathology theoretical prediction optimization problems logistic regression experimental pathology human pathology veterinary pathology molecular pathology bacterial cupredoxin azurin human breast cancer azurin inhibits angiogenesis tumor growth peptide fragment azurin induces generalized linear conditional second-order mixed models biomedical modeling nonlinear models experiment design behavioral statistic mathematical bioscience

Notable Scholarly Works

Notable Federal Grants

Collaborators

Screening Designs for Continuous and Categorical Factors. Technometrics (2024)

Bradley JonesRyan LekivetzDibyen MajumdarChristopher Nachtsheim

categorical factorsdesign theoryform factor (design)design

Construction, Properties, and Analysis of Group-Orthogonal Supersaturated Designs. Figshare (2021)

Bradley JonesRyan LekivetzDibyen MajumdarChristopher J. NachtsheimJonathan W. Stallrich

designgroup-orthogonal supersaturated designs

D-Optimal Designs for Multinomial Logistic Models. The Annals of Statistics (2020)

Xianwei BuDibyen MajumdarJie Yang

d-optimal designsmultinomial logistic modelsstatisticsstatistical theory

On Multiple-Objective Nonlinear Optimal Designs. Contributions to statistics (2016)

Qianshun ChengDibyen MajumdarMin Yang

statisticsstatistical theorynonlinear optimizationapplied mathematicsmathematical optimization

Optimal Designs for 2K Factorial Experiments With Binary Response. Statistica Sinica (2015)

Jie YangAbhyuday MandalDibyen Majumdar

factorial experimentsstatisticsbinary responseoptimal designsapplied statistics

Conditional Quantile Regression Models for Melanoma Tumor Growth Curves for Assessing Treatment Effects in Small Sample Studies. Statistics in Medicine (2014)

statistical inferencestatisticstreatment effectsstatistical methodologybiostatisticsoncologymelanomasmall sample studiesstatistical modelscancer careapplied statistics

Conditional Quantile Regression Models of Melanoma Tumor Growth Curves for Assessing Treatment Effect in Small Sample Studies. Statistics in Medicine (2014)

Ella RevzinDibyen MajumdarGilbert W. Bassett

statisticsmedicinesamplingbiostatisticsstatistical methodologycancer researchevidence-based medicinemelanomasurvival analysismedical statisticssmall sample studiesclinical researchmedicinal researchapplied statisticscancer growth

A First-In-Class, First-In-Human, Phase I Trial of P28, a Non-Hdm2-Medicated Peptide Inhibitor of P53 Ubiquitination in Patients With Advanced Solid Tumors. British Journal of Cancer (2013)

pathologymolecular canceroncogenesadvanced solid tumorsoncologyradiation oncologynon-hdm2-medicated peptide inhibitorcancer cellsp53 ubiquitinationtherapeutic targets

Maximin and Maximin-Efficient Event-Related Fmri Designs Under a Nonlinear Model. The Annals of Applied Statistics (2013)

computational intelligencemathematical optimizationneuroimagingneurosciencenonlinear modelbrain modelingglobal optimizationapplied mathematicsfunctional imagingbrain imagingcomputational neuroscienceneuroimaging modality

Discussion of “Optimal Designs of Experiments for Statistical Inferences” by Gilmour and Trinca. Journal of the Royal Statistical Society, Series C (2012)

optimal experimental designinferencestatistical inferencestatisticsstatistical theorystatistical hypothesis teststatistical methodology“ optimal designsbayesian analysisstatistical scienceexperiment designstatistical modelsapplied mathematicsstatistical inferencesmathematical optimizationapplied statistics

1
2
3
4
5
9
10 / page

Dibyen Majumdar

Professor Emeritus

University of Illinois Chicago

Affiliations

College of Liberal Arts and Sciences

Mathematics, Statistics, and Computer Science

Dibyen Majumdar is currently serving as a College Of Liberal Arts And Sciences Professor Emeritus at University of Illinois Chicago.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Dibyen Majumdar

University of Illinois Chicago

Professor Emeritus

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Screening Designs for Continuous and Categorical Factors. Technometrics (2024)

Bradley JonesRyan LekivetzDibyen MajumdarChristopher Nachtsheim

categorical factorsdesign theoryform factor (design)design

Construction, Properties, and Analysis of Group-Orthogonal Supersaturated Designs. Figshare (2021)

Bradley JonesRyan LekivetzDibyen MajumdarChristopher J. NachtsheimJonathan W. Stallrich

designgroup-orthogonal supersaturated designs

D-Optimal Designs for Multinomial Logistic Models. The Annals of Statistics (2020)

Xianwei BuDibyen MajumdarJie Yang

d-optimal designsmultinomial logistic modelsstatisticsstatistical theory

On Multiple-Objective Nonlinear Optimal Designs. Contributions to statistics (2016)

Qianshun ChengDibyen MajumdarMin Yang

statisticsstatistical theorynonlinear optimizationapplied mathematicsmathematical optimization

Optimal Designs for 2K Factorial Experiments With Binary Response. Statistica Sinica (2015)

Jie YangAbhyuday MandalDibyen Majumdar

factorial experimentsstatisticsbinary responseoptimal designsapplied statistics

Conditional Quantile Regression Models for Melanoma Tumor Growth Curves for Assessing Treatment Effects in Small Sample Studies. Statistics in Medicine (2014)

statistical inferencestatisticstreatment effectsstatistical methodologybiostatisticsoncologymelanomasmall sample studiesstatistical modelscancer careapplied statistics

Conditional Quantile Regression Models of Melanoma Tumor Growth Curves for Assessing Treatment Effect in Small Sample Studies. Statistics in Medicine (2014)

Ella RevzinDibyen MajumdarGilbert W. Bassett

A First-In-Class, First-In-Human, Phase I Trial of P28, a Non-Hdm2-Medicated Peptide Inhibitor of P53 Ubiquitination in Patients With Advanced Solid Tumors. British Journal of Cancer (2013)

pathologymolecular canceroncogenesadvanced solid tumorsoncologyradiation oncologynon-hdm2-medicated peptide inhibitorcancer cellsp53 ubiquitinationtherapeutic targets

Maximin and Maximin-Efficient Event-Related Fmri Designs Under a Nonlinear Model. The Annals of Applied Statistics (2013)

Discussion of “Optimal Designs of Experiments for Statistical Inferences” by Gilmour and Trinca. Journal of the Royal Statistical Society, Series C (2012)

1
2
3
4
5
9
10 / page

Similar Faculty Members

Min Yang

Institution

University of Illinois Chicago

translational research

experiment design

Subir Ghosh

Institution

University of California, Riverside

generalized linear

nonlinear models

Hong Zhu

Institution

University of Virginia

cancer care

biostatistics

Hua Liang

Institution

George Washington University

linear models

statistical modeling

Nolan A. Wages

Institution

Virginia Commonwealth University

radiation oncology

jama oncology

Chris Tsokos

Institution

University of South Florida

reliability analysis

ecological modelling

Steve Marron

Institution

University of North Carolina at Chapel Hill

statistical genetics

biomedical informatics

Weng Kee Wong

Institution

University of California, Los Angeles

applied statistics

medicine

George Michailidis

Institution

University of California, Los Angeles

computational science

high dimensional statistics

Jiang Gui

Institution

Dartmouth College

high-dimensional statistics

dimensionality reduction

Similar Faculty Members

Min Yang

Institution

University of Illinois Chicago

translational research

experiment design

Subir Ghosh

Institution

University of California, Riverside

generalized linear

nonlinear models

Hong Zhu

Institution

University of Virginia

cancer care

biostatistics

Hua Liang

Institution

George Washington University

linear models

statistical modeling

Nolan A. Wages

Institution

Virginia Commonwealth University

radiation oncology

jama oncology

Chris Tsokos

Institution

University of South Florida

reliability analysis

ecological modelling

Steve Marron

Institution

University of North Carolina at Chapel Hill

statistical genetics

biomedical informatics

Weng Kee Wong

Institution

University of California, Los Angeles

applied statistics

medicine

George Michailidis

Institution

University of California, Los Angeles

computational science

high dimensional statistics

Jiang Gui

Institution

Dartmouth College

high-dimensional statistics

dimensionality reduction