Suman Majumder

College of Sciences

Works (7)

Updated: July 12th, 2023 21:17

2022 journal article

Estimating intervention effects on infectious disease control: The effect of community mobility reduction on Coronavirus spread

SPATIAL STATISTICS, 52.

By: A. Giffin n, W. Gong n, S. Majumder*, A. Rappold*, B. Reich n  & S. Yang n 

author keywords: Causal inference; COVID-19; Spatiotemporal modeling; SIR model
TL;DR: A spatiotemporal model is proposed that estimates the causal effect of changes in community mobility (intervention) on infection rates and suggests that the reductions in mobility decrease Coronavirus cases 4 to 7 weeks after the intervention. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: November 21, 2022

2021 journal article

Landscape‐level variation in <i>Bt crops predict <scp> <i>Helicoverpa ze <scp> <i>a ( <scp>Lepidoptera: Noctuidae ) resistance in cotton agroecosystems

Landscape‐level variation in Bt crops predict . Pest Management Science, 77(12), 5454–5462.

By: S. Dorman n, K. Hopperstad n, B. Reich n , S. Majumder n, G. Kennedy n , D. Reisig n , J. Greene *, F. Reay‐Jones * ...

author keywords: Bt resistance; bollworm; crop intensity; Helicoverpa zea; risk assessment
MeSH headings : Animals; Bacillus thuringiensis / genetics; Bacterial Proteins / genetics; Endotoxins; Gossypium; Hemolysin Proteins / genetics; Insecticide Resistance; Moths / genetics; Plants, Genetically Modified / genetics; Zea mays / genetics
TL;DR: Landscape-level predictors of H. zea damage in Bt cotton can be used to identify heightened Bt resistance risk areas and serves as a model to understand factors that drive pest resistance evolution to Bt toxins in the southeastern United States. (via Semantic Scholar)
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2. Zero Hunger (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries, ORCID, Crossref
Added: August 30, 2021

2020 journal article

Prevalence and Correlates of Food Insecurity and Homelessness Among University Students

JOURNAL OF COLLEGE STUDENT DEVELOPMENT, 61(1), 109–114.

By: M. Haskett*, D. Kotter-Gruhn & S. Majumder*

Contributors: M. Haskett*, D. Kotter-Grühn & S. Majumder*

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1. No Poverty (Web of Science)
2. Zero Hunger (Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: February 17, 2020

2020 journal article

Statistical Downscaling with Spatial Misalignment: Application to Wildland Fire PM2.5 Concentration Forecasting

JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS, 26(1), 23–44.

By: S. Majumder n, Y. Guan*, B. Reich n , S. O'Neill * & A. Rappold*

author keywords: Image registration; Public health; Smoothing; Warping
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2. Zero Hunger (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: November 2, 2020

2020 journal article

Statistical inference based on a new weighted likelihood approach

METRIKA, 84(1), 97–120.

By: S. Majumder n, A. Biswas*, T. Roy *, S. Bhandari* & A. Basu *

author keywords: Asymptotic efficiency; Influence function; Robustness; Robust regression; Weighted likelihood
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Source: Web Of Science
Added: June 22, 2020

2020 journal article

The role of university students' wellness in links between homelessness, food insecurity, and academic success

JOURNAL OF SOCIAL DISTRESS AND THE HOMELESS, 30(1), 59–65.

By: M. Haskett n, S. Majumder n, D. Kotter-Gruhn  n & I. Gutierrez n

author keywords: Student homelessness; food insecurity; well-being; sleep; GPA
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
1. No Poverty (Web of Science)
2. Zero Hunger (Web of Science; OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: March 23, 2020

2019 journal article

A Weighted Likelihood Approach to Problems in Survival Data

SANKHYA-SERIES B-APPLIED AND INTERDISCIPLINARY STATISTICS, 83(2), 466–492.

By: A. Biswas*, A. Basu *, S. Majumder n & P. Niyogi *

author keywords: Censored survival data; Kaplan-Meier estimator; Root selection; Weibull distribution; Weighted likelihood estimation
TL;DR: This work is motivated by the need to perform the appropriate “robust” analysis on right-censored survival data, and a recently developed variant of the weighted likelihood method provides a nice illustration of the presence of different clusters in Efron’s data, which highlights the benefits of this method in relation to classical robust techniques. (via Semantic Scholar)
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Source: Web Of Science
Added: August 24, 2020

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