Nicole Lazar

Professor of Statistics

Nicole Lazar

Huck Affiliations


Publication Tags

Empirical Likelihood Magnetic Resonance Imaging Lasso Machine Learning Brain Ridge Regression Monte Carlo Simulation Mortality Exact Test Regression Interaction Critical Value Invariance Data Analysis Estimate Model Misspecification Ridge Metropolis Hastings Functional Neuroimaging Prediction Cluster Analysis P Value Cognitive Dysfunction Bayes Theorem Manuscripts

Most Recent Publications

Iris S.C. Verploegh, Nicole A. Lazar, Ronald H.M.A. Bartels, Victor Volovici, 2022, World Neurosurgery on p. 280-283.e3

Arunava Samaddar, Brooke S. Jackson, Christopher J. Helms, Nicole A. Lazar, Jennifer E. McDowell, Cheolwoo Park, 2022, Computational Statistics and Data Analysis

Enhance COVID-19 Mortality Prediction with Human Mobility Trend and Medical Information

Yogesh Chaudhari, Indrajeet Javeri, Ismailcem Arpinar, John A. Miller, Xiaochuan Li, Bingnan Li, Yuan Ke, Mohammadhossein Toutiaee, Nicole Lazar, 2022, on p. 1245-1252

Best practices for selecting samples, analyzing data, and publishing results in isotope archaeology

Petra Vaiglova, Nicole A. Lazar, Elizabeth A. Stroud, Emma Loftus, Cheryl A. Makarewicz, 2022, Quaternary International

The neuroscience of human connection and leadership

Nicole Lazar, 2021,

Erin Kaiser, J. Poythress, Kelly Scheulin, Brian Jurgielewicz, Nicole Lazar, Cheolwoo Park, Steven Stice, Jeongyoun Ahn, Franklin West, 2021, Neural Regeneration Research on p. 842-850

A review of empirical likelihood

Nicole A. Lazar, 2021, Annual Review of Statistics and Its Application on p. 329-344

E. Kaiser, J. Poythress, K. Scheulin, B. Jurgielewicz, Nicole Lazar, C. Park, S. Stice, J. Ahn, F. West, 2020, Neural Regeneration Research

Adam Jaeger, Nicole A. Lazar, 2020, Computational Statistics and Data Analysis

Adel Bedoui, Nicole A. Lazar, 2020, Computational Statistics and Data Analysis

Most-Cited Papers

Ronald L. Wasserstein, Nicole A. Lazar, 2016, American Statistician on p. 129-133

Ronald L. Wasserstein, Allen L. Schirm, Nicole A. Lazar, 2019, American Statistician on p. 1-19

A Meta-Analysis of fMRI Activation Differences during Episodic Memory in Alzheimer's Disease and Mild Cognitive Impairment

Douglas P. Terry, Dean Sabatinelli, A. Nicolas Puente, Nicole A. Lazar, L. Stephen Miller, 2015, Journal of Neuroimaging on p. 849-860

Suneeti Nathani Iyer, Hailey Denson, Nicole Lazar, D. Kimbrough Oller, 2016, Clinical Linguistics and Phonetics on p. 470-488

Incorporating spatial dependence into Bayesian multiple testing of statistical parametric maps in functional neuroimaging

D. Andrew Brown, Nicole A. Lazar, Gauri S. Datta, Woncheol Jang, Jennifer E. McDowell, 2014, NeuroImage on p. 97-112

Adel Bedoui, Nicole A. Lazar, 2020, Computational Statistics and Data Analysis

Nonparametric variogram modeling with hole effect structure in analyzing the spatial characteristics of fMRI data

Jun Ye, Nicole A. Lazar, Yehua Li, 2015, Journal of Neuroscience Methods on p. 101-115

Jinae Lee, Cheolwoo Park, Kara A. Dyckman, Nicole A. Lazar, Benjamin P. Austin, Qingyang Li, Jennifer E. Mcdowell, 2013, Human Brain Mapping on p. 2276-2291

Albert Vexler, Young Min Kim, Jihnhee Yu, Nicole A. Lazar, Alan D. Hutson, 2014, Scandinavian Journal of Statistics on p. 1013-1030

Woncheol Jang, Johan Lim, Nicole A. Lazar, Ji Meng Loh, Donghyeon Yu, 2015, Journal of the Korean Statistical Society on p. 352-365