Search Results - "Carnegie, Nicole Bohme"

Using social contact data to improve the overall effect estimate of a cluster‐randomized influenza vaccination program in Senegal.

Authors: Potter, Gail E. Carnegie, Nicole Bohme Sugimoto, Jonathan D. et al.

Source: Journal of the Royal Statistical Society: Series C (Applied Statistics); Jan2022, Vol. 71 Issue 1, p70-90, 21p

Adiposity throughout Adulthood and Risk of Young-Onset Breast Cancer Tumor Subtypes in the Young Women's Health History Study.

Authors: Post, Lydia Marcus Pathak, Dorothy R. Hamilton, Ann S. et al.

Source: Cancer Epidemiology, Biomarkers & Prevention. Dec2024, Vol. 33 Issue 12, p1669-1670.

An Approximation Method for Improving Dynamic Network Model Fitting.

Authors: Carnegie, Nicole Bohme Krivitsky, Pavel N. Hunter, David R. et al.

Source: Journal of Computational & Graphical Statistics; Apr-Jun2015, Vol. 24 Issue 2, p502-519, 18p

ASUKKAIDEN KOKEMUKSET ASUINALUEIDEN SOSIAALISESTA SEKOITTAMISESTA JA MONINAISTAMISESTA: ETÄÄNTYMISTÄ JA LÄHENTYMISTÄ.

Alternate Title: Residents’ Experiences of Social Mixing and Diversification in Neighbourhoods: Distancing and Closing.

Authors: Juhila, Kirsi Ilmoniemi, Mikko Niemi, Veera et al.

Source: Janus. 2025, Vol. 33 Issue 3, p257-274. 18p.

Using a novel genetic algorithm to assess peer influence on willingness to use pre-exposure prophylaxis in networks of Black men who have sex with men.

Authors: Johnson, Kara Layne Walsh, Jennifer L. Amirkhanian, Yuri A. et al.

Source: Applied Network Science; 3/18/2021, Vol. 6 Issue 1, p1-40, 40p

A flexible, interpretable framework for assessing sensitivity to unmeasured confounding.

Authors: Dorie, Vincent Harada, Masataka Carnegie, Nicole Bohme et al.

Source: Statistics in Medicine. Sep2016, Vol. 35 Issue 20, p3453-3470. 18p.

Assessing Sensitivity to Unmeasured Confounding Using a Simulated Potential Confounder.

Authors: Carnegie, Nicole Bohme Harada, Masataka Hill, Jennifer L.

Source: Journal of Research on Educational Effectiveness. Jul-Sep2016, Vol. 9 Issue 3, p395-420. 26p.

Subject Terms: *Computer software, Sensitivity analysis, Mathematical variables, Simulation methods & models, Numerical analysis, Parameter estimation

Linkage of Viral Sequences among HIV-Infected Village Residents in Botswana: Estimation of Linkage Rates in the Presence of Missing Data.

Authors: Carnegie, Nicole Bohme Wang, Rui Novitsky, Vladimir et al.

Source: PLoS Computational Biology. Jan2014, Vol. 10 Issue 1, p1-16. 16p. 5 Charts, 9 Graphs.

Size Matters: Concurrency and the Epidemic Potential of HIV in Small Networks.

Authors: Carnegie, Nicole Bohme Morris, Martina Myer, Landon

Source: PLoS ONE. Aug2012, Vol. 7 Issue 8, Special section p1-6. 6p.

Calibration of an Adaptive Genetic Algorithm for Modeling Opinion Diffusion.

Authors: Johnson, Kara Layne Carnegie, Nicole Bohme

Source: Algorithms. Feb2022, Vol. 15 Issue 2, p45. 1p.

Quantitative Methods for HIV/AIDS Research: Cliburn Chan, Michael G. Hudgens, and Shein-Chung Chow. Boca Raton, FL: Chapman & Hall/CRC Press, 2017, xviii + 289 pp., $125.00(H), ISBN: 978-1-49-873423-3. https://doi.org/10.1080/00031305.2019.1603473.

Authors: Carnegie, Nicole Bohme¹ nicole.carnegie@montana.edu

Source: American Statistician. May2019, Vol. 73 Issue 2, p209-210. 2p.

Approaches and Methods for Causal Analysis of Panel Data in the Area of Morbidity and Mortality.

Authors: Hoffmann, Rasmus Doblhammer, Gabriele

Source: Comparative Population Studies / Zeitschrift für Bevölkerungswissenschaft. 2021, Vol. 46, p69-95. 27p.

Retrospective Network Imputation from Life History Data: The Impact of Designs.

Authors: Yu, Yue Smith, Emily J. Butts, Carter T.

Source: Sociological Methodology. Aug2020, Vol. 50 Issue 1, p131-167. 37p.

Variable Selection and Parameter Tuning for BART Modeling in the Fragile Families Challenge.

Authors: Carnegie, Nicole Bohme Wu, James

Source: Socius: Sociological Research for a Dynamic World. 2019, Vol. 5, pN.PAG-N.PAG. 1p.