Nicole Lazar

Professor of Statistics

Nicole Lazar

Huck Affiliations

Links

Publication Tags

Empirical Likelihood Magnetic Resonance Imaging Machine Learning Regression Brain Generalized Estimating Equations Mortality Monte Carlo Simulation Correlation Structure Exact Test Invariance Interaction Lasso Critical Value Ridge Regression Likelihood Estimate Model Misspecification Ridge Metropolis Hastings Data Analysis Functional Neuroimaging Manuscripts United States Of America Tooth

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

Selection of working correlation structure in generalized estimating equations via empirical likelihood

Jien Chen, Nicole A. Lazar, 2012, Journal of Computational and Graphical Statistics on p. 18-41

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

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

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

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