Nicole Lazar

Professor of Statistics

Nicole Lazar

Huck Affiliations

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Publication Tags

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Magnetic Resonance Imaging Isotope Mortality Biomechanics Alternatives Critical Value Lasso Tooth Invariance Advice Machine Learning Hypothesis Testing Monte Carlo Simulation Archaeology Interaction Exact Test Data Analysis Brain Empirical Likelihood P Value Enamel Carbon Isotope Bone Material Stable Isotope

Most Recent Publications

IMS awards: Why your nomination is important

Peter Buhlmann, Nicole Lazar, 2023, IMS Bulletin

Functional neuroimaging in the era of Big Data and Open Science: A modern overview

Nicole A. Lazar, 2023, Wiley Interdisciplinary Reviews: Computational Statistics

Hypothesis testing for shapes using vectorized persistence diagrams

Chul Moon, Nicole A. Lazar, 2023, Journal of the Royal Statistical Society. Series C: Applied Statistics on p. 628-648

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

Perils and opportunities of ChatGPT: A high school perspective

Nicole Lazar, James Byrns, Diane Crowe, Megan McGinty, Angela Abraham, Mike Guo, Megan Mann, Prithvi Narayanan, Lydia Roberts, Benjamin Sidore, Maxwell Wager, 2023, Harvard Data Science Review

Radical and not-so-radical principles and practices: Discussion of Meng

Ronald Wasserstein, Allen Schirm, Nicole Lazar, 2023, The New England Journal of Statistics and Data Science

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

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

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

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

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

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

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