Nicole Lazar
Professor of Statistics
-
326 Thomas
University Park, PA - nfl5182@psu.edu
- 814-865-1348
Huck Affiliations
- Bioinformatics and Genomics
- Neuroscience Institute
- Center for Neurotechnology in Mental Health Research
Links
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 ManuscriptsMost 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
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
Bayesian empirical likelihood for ridge and lasso regressions
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
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
Computing critical values of exact tests by incorporating monte carlo simulations combined with statistical tables
Albert Vexler, Young Min Kim, Jihnhee Yu, Nicole A. Lazar, Alan D. Hutson, 2014, Scandinavian Journal of Statistics on p. 1013-1030
Some properties of generalized fused lasso and its applications to high dimensional data
Woncheol Jang, Johan Lim, Nicole A. Lazar, Ji Meng Loh, Donghyeon Yu, 2015, Journal of the Korean Statistical Society on p. 352-365