N. Lazar

发表

Thresholding of Statistical Maps in Functional Neuroimaging Using the False Discovery Rate

Thomas E. Nichols, C. Genovese, N. Lazar, 2002, NeuroImage.

Methods and Criteria for Model Selection

N. Lazar, J. Kadane, 2004 .

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

N. Lazar, R. Wasserstein, 2016 .

Statistical Analysis With Missing Data

Nicole A. Lazar, N. Lazar, 2003, Technometrics.

Statistical Issues in fMRI for Brain Imaging

C. Genovese, N. Lazar, W. Eddy, 2001 .

Maturation of cognitive processes from late childhood to adulthood.

N. Lazar, J. Sweeney, B. Luna, 2004, Child development.

Neocortical system abnormalities in autism: An fMRI study of spatial working memory

N. Minshew, N. Lazar, W. Eddy, 2002, Neurology.

A SHORT SURVEY ON CAUSAL INFERENCE, WITH IMPLICATIONS FOR CONTEXT OF LEARNING STUDIES OF SECOND LANGUAGE ACQUISITION

N. Lazar, 2004, Studies in Second Language Acquisition.

Moving to a World Beyond “p < 0.05”

N. Lazar, R. Wasserstein, A. Schirm, 2019, The American Statistician.

Bayesian empirical likelihood

N. Lazar, 2003 .

FUNCTIONAL BRAIN ABNORMALITIES ARE RELATED TO CLINICAL RECOVERY AND TIME TO RETURN‐TO‐PLAY IN ATHLETES

N. Lazar, W. Eddy, J. Becker, 2007, Neurosurgery.

SOCIAL NETWORK MODELS FOR IDENTIFYING ACTIVE BRAIN REGIONS FROM FMRI DATA

L. Seymour, N. Lazar, J. McDowell, 2010 .

Nonparametric variogram modeling with hole effect structure in analyzing the spatial characteristics of fMRI data

Nicole A. Lazar, Yehua Li, N. Lazar, 2015, Journal of Neuroscience Methods.

Corbelled Domes in Two and Three Dimensions: The Treasury of Atreus

N. Lazar, J. Kadane, C. Litton, 2004 .

Selection of Working Correlation Structure in Generalized Estimating Equations via Empirical Likelihood

Nicole A. Lazar, Jien Chen, N. Lazar, 2012 .

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

N. Lazar, Qingyang Li, K. A. Dyckman, 2013, Human brain mapping.

Statistical Analysis of Functional Magnetic Resonance Imaging Data

N. Lazar, 2017 .

J. Berger, D. Dey, N. Lazar, 2011 .

Assessing and Improving Prediction and Classification, Theory and Algorithms in C++

U. J. Dixit, J. N. Orsini, Daniel T. Kaplan, 2017 .

Bayesian Empirical Likelihood Methods for Quantile Comparisons.

N. Lazar, A. Vexler, Jihnhee Yu, 2017, Journal of the Korean Statistical Society.

A Look at Multiplicity Through Misclassification

N. Lazar, A. Genz, N. Dasgupta, 2016 .

Hypothesis testing, power and sample size determination for between group comparisons in fMRI experiments.

K. Kapur, N. Lazar, J. Sweeney, 2009, Statistical methodology.

The Big Picture: Symbolic Data Analysis

Nicole Lazar, N. Lazar, 2013 .

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

N. Lazar, R. Bartels, V. Volovici, 2022, World Neurosurgery.

Cost‐efficient selection of a marker panel in genetic studies

N. Lazar, M. Conroy, J. Reeves, 2012 .

Radical and Not-So-Radical Principles and Practices: Discussion of Meng

N. Lazar, R. Wasserstein, A. Schirm, 2022, The New England Journal of Statistics in 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

N. Lazar, M. Madigan, C. Franck, 2022, Stat.

Estimation and Classification of BOLD Responses Over Multiple Trials

K. Kapur, N. Lazar, J. Sweeney, 2009, Communications in statistics: theory and methods.

A Capstone Course for Undergraduate Statistics Majors

N. Lazar, J. Reeves, C. Franklin, 2011 .

Feature-based vs . intensity-based brain image registration : voxel level and structure level performance evaluation

Yanxi Liu, Owen Carmichael, Leonid Teverovskiy, 2006 .

Best practices for selecting samples, analyzing data, and publishing results in isotope archaeology

N. Lazar, C. Makarewicz, Elizabeth Stroud, 2022, Quaternary International.

Finding common task‐related regions in fMRI data from multiple subjects by periodogram clustering and clustering ensemble

Jun Ye, Nicole A Lazar, Yehua Li, 2016, Statistics in medicine.

Empirical likelihood in the presence of nuisance parameters

Nicole A. Lazar, Per A. Mykland, P. Mykland, 1999 .

Nicole A. Lazar, N. Lazar, 2010, Encyclopedia of Machine Learning and Data Mining.

Movies for the Visualization of MCMC Output

Joseph B. Kadane, Nicole A. Lazar, N. Lazar, 2002 .

Multi-objective optimal experimental designs for event-related fMRI studies

Abhyuday Mandal, Ming-Hung Kao, John Stufken, 2009, NeuroImage.

A Bayesian Generalized CAR Model for Correlated Signal Detection

Nicole A. Lazar, D. Andrew Brown, Gauri S. Datta, 2015, 1512.03769.

Statistics of Extremes: Theory and Applications

Nicole A. Lazar, N. Lazar, 2005, Technometrics.

Improving COVID-19 Forecasting using eXogenous Variables pdf

Mohammadhossein Toutiaee, Yogesh Chaudhari, Yogesh R. Chaudhari, 2021, ArXiv.

Temporal, Spatial, and Spatiotemporal Models

Nicole A. Lazar, N. Lazar, 2008 .

The Big Picture: Multiplicity Control in Large Data Sets Presents New Challenges and Opportunites

Nicole A. Lazar, N. Lazar, 2012 .

Assessing the sensitivity of fMRI group maps

Nicole A Lazar, Rebecca Landes McNamee, N. Lazar, 2004, NeuroImage.

Combining Brains: A Survey of Methods for Statistical Pooling of Information

Beatriz Luna, William F. Eddy, John A. Sweeney, 2002, NeuroImage.

Understanding the role of facial asymmetry in human face identification

Yanxi Liu, Sinjini Mitra, Nicole A. Lazar, 2007, Stat. Comput..

Some properties of generalized fused lasso and its applications to high dimensional data

Woncheol Jang, Ji Meng Loh, Johan Lim, 2015 .

The neural correlates of habituation of response to startling tactile stimuli presented in a functional magnetic resonance imaging environment

Gregory G. Brown, N. Lazar, M. Geyer, 2006, Psychiatry Research: Neuroimaging.

Regression shrinkage and grouping of highly correlated predictors with HORSES

Woncheol Jang, Ji Meng Loh, Johan Lim, 2013, 1302.0256.

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

Cheolwoo Park, Christopher J. Helms, Nicole A. Lazar, 2022, Comput. Stat. Data Anal..

ASA Statement on Statistical Significance and p-Values

Nicole A. Lazar, N. Lazar, R. Wasserstein, 2020 .

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

N. Lazar, Jeongyoun Ahn, Cheolwoo Park, 2020, Neural regeneration research.

A Meta‐Analysis of fMRI Activation Differences during Episodic Memory in Alzheimer's Disease and Mild Cognitive Impairment

Dean Sabatinelli, Nicole A. Lazar, Douglas P. Terry, 2015, Journal of neuroimaging : official journal of the American Society of Neuroimaging.

Bootstrapping GEE models for fMRI regional connectivity

William F. Eddy, Yvette I. Sheline, John C. Morris, 2012, NeuroImage.

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

Suneeti Nathani Iyer, N. Lazar, D. Oller, 2016, Clinical linguistics & phonetics.

Semantic-based Biomedical Image Indexing and Retrieval

Takeo Kanade, Yanxi Liu, Frank Dellaert, 2003 .

Assessing the Effect of Individual Data Points on Inference From Empirical Likelihood

Nicole A. Lazar, N. Lazar, 2005 .

Introduction: Special Issue on Data Science

Hadley Wickham, Nicole A. Lazar, Jennifer Bryan, 2018 .

Discussion of “Puzzlingly High Correlations in fMRI Studies of Emotion, Personality, and Social Cognition” by Vul et al. (2009)

Nicole A Lazar, N. Lazar, 2009, Perspectives on psychological science : a journal of the Association for Psychological Science.

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

N. Lazar, 2023, WIREs Computational Statistics.

Bayesian empirical likelihood for ridge and lasso regressions

Adel Bedoui, Nicole A. Lazar, N. Lazar, 2020, Comput. Stat. Data Anal..

Split sample empirical likelihood

Nicole Lazar, Adam Jaeger, N. Lazar, 2017, Comput. Stat. Data Anal..

Empirical likelihood-based hot deck imputation methods

N. Lazar, Y. Xue, 2012 .

Computing Critical Values of Exact Tests by Incorporating Monte Carlo Simulations Combined with Statistical Tables

Young Min Kim, Albert Vexler, Jihnhee Yu, 2014, Scandinavian journal of statistics, theory and applications.

A Comparison of Spanish Second Language Acquisition in Two Different Learning Contexts: Study Abroad and the Domestic Classroom.

Norman Segalowitz, Barbara A Lafford, Joseph Collentine, 2004 .

Testing Statistical Hypotheses of Equivalence

Nicole A. Lazar, N. Lazar, 2003, Technometrics.

Estimation and classification of fMRI hemodynamic response patterns

Stanley L. Sclove, Dulal K. Bhaumik, Robert D. Gibbons, 2004, NeuroImage.

Geostatistical analysis in clustering fMRI time series

Jun Ye, Nicole A Lazar, Yehua Li, 2009, Statistics in medicine.

The Challenge of Functional Magnetic Resonance Imaging

Audris Mockus, Christopher R. Genovese, William F. Eddy, 1999 .

The Neuroscience of Human Connection and Leadership

N. Lazar, 2020 .

Hypothesis testing for shapes using vectorized persistence diagrams

N. Lazar, Chul Moon, 2020, Journal of the Royal Statistical Society Series C: Applied Statistics.

Sparse geostatistical analysis in clustering fMRI time series

Jun Ye, Nicole A. Lazar, Yehua Li, 2011, Journal of Neuroscience Methods.

Incorporating spatial dependence into Bayesian multiple testing of statistical parametric maps in functional neuroimaging

Woncheol Jang, Nicole A. Lazar, Jennifer E. McDowell, 2014, NeuroImage.

The Big Picture: Functional Magnetic Resonance Imaging—Introduction to a Neuroimaging Modality

Nicole Lazar, N. Lazar, 2012 .

Statistical Analysis With Missing Data

N. Lazar, Nicole A. Lazar, 2003, Technometrics.

Composite empirical likelihood

N. Lazar, Adam Jaeger, 2015, 1511.04635.

Persistence Terrace for Topological Inference of Point Cloud Data

Chul Moon, Noah Giansiracusa, Nicole A. Lazar, 2017, Journal of Computational and Graphical Statistics.

A generalized estimating equations approach for resting-state functional MRI group analysis

William F. Eddy, Yvette I. Sheline, John C. Morris, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A Bayesian Generalized CAR Model for Correlated Signal Detection

N. Lazar, G. Datta, A. Brown, 2015, 1512.03769.

Method of Moments Histograms

James S. Weber, N. Lazar, 2019, 1909.04232.

Threshold determination using the false discovery rate

Thomas E. Nichols, Christopher R. Genovese, Nicole A. Lazar, 2001, NeuroImage.

Scale Reliant Inference

Lawrence A. David, N. Lazar, J. Silverman, 2022, 2201.03616.

Functional Magnetic Resonance Imaging in Sports-Related Concussion : Cerebral Blood Flow Abnormalities Predict Time to Return to Play

N. Lazar, W. Eddy, J. Becker, 2007 .

Language Learning Abroad: How Do Gains in Written Fluency Compare with Gains in Oral Fluency in French as a Second Language?.

Barbara F. Freed, N. Lazar, Sufumi So, 2003 .