Nicole Lazar

Professor of Statistics

326 Thomas
University Park, PA
nfl5182@psu.edu
814-865-1348

Bio & Links
Publications

Huck Affiliations

Bioinformatics and Genomics

Neuroscience Institute

Center for Neurotechnology in Mental Health Research

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

Evaluation of the Use of P Values in Neurosurgical Literature: from Statistical Significance to Clinical Irrelevance

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

A group comparison in fMRI data using a semiparametric model under shape invariance

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,

An integrative multivariate approach for predicting functional recovery using magnetic resonance imaging parameters in a translational pig ischemic stroke model

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

An integrative multivariate approach for predicting functional recovery using magnetic resonance imaging parameters in a translational pig ischemic stroke model

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

Split sample empirical likelihood

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

Bayesian empirical likelihood for ridge and lasso regressions

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

Most-Cited Papers

The ASA's Statement on p-Values: Context, Process, and Purpose

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

Moving to a World Beyond “p < 0.05”

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

Volubility of the human infant: Effects of parental interaction (or lack of it)

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

Practice-related changes in neural activation patterns investigated via wavelet-based clustering analysis

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