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
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Magnetic Resonance Imaging Empirical Likelihood Brain Isotope Mortality Biomechanics Alternatives Critical Value Tooth Invariance Interaction Advice Machine Learning Hypothesis Testing Monte Carlo Simulation Exact Test Archaeology Data Analysis P Value Enamel Carbon Isotope Bone Material Stable Isotope Functional NeuroimagingMost Recent Publications
Functional neuroimaging in the era of Big Data and Open Science: A modern overview
Nicole A. Lazar, 2023, Wiley Interdisciplinary Reviews: Computational Statistics
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, 2023, Quaternary International on p. 86-100
How to write about alternatives to classical hypothesis testing outside of the statistical literature: Approximate Bayesian model selection applied to a biomechanics study
Christopher T. Franck, Michael L. Madigan, Nicole A. Lazar, 2022, Stat
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
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
The neuroscience of human connection and leadership
Nicole A. Lazar, 2021, on p. 117-127
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
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
Bayesian empirical likelihood for ridge and lasso regressions
Adel Bedoui, Nicole A. Lazar, 2020, Computational Statistics and Data Analysis
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
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
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, 2023, Quaternary International on p. 86-100
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
News Articles Featuring Nicole Lazar
Jun 26, 2023
Neela Yennawar and Scott Lindner selected as 2023 Huck Leadership Fellows
Launched in 2022, the Huck Leadership Fellows Program was developed for faculty members seeking to sharpen their leadership skills with an opportunity for exposure to senior leadership within the interdisciplinary research unit.
Full Article
Jan 11, 2023
Ashtekar Frontiers of Science Lectures to begin Jan. 21
The Ashtekar Frontiers of Science Lectures in the Eberly College of Science, a series of free public lectures now in its 29th year, will return to Penn State on Jan. 21.
Full Article