Search Results - "Lazar, Nicole"

Moving to a World Beyond "p < 0.05" by Wasserstein, Ronald L., Schirm, Allen L., Lazar, Nicole A.

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Functional neuroimaging in the era of Big Data and Open Science: A modern overview by Lazar, Nicole A.

“…In the past 30 years, the statistical analysis of functional neuroimaging data has made much progress, and spurred many new research directions. At the same…”
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Hypothesis testing for shapes using vectorized persistence diagrams by Moon, Chul, Lazar, Nicole A

“…Topological data analysis involves the statistical characterization of the shape of data. Persistent homology is a primary tool of topological data analysis,…”
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A Review of Empirical Likelihood by Lazar, Nicole A

“…Empirical likelihood is a popular nonparametric analog of the usual parametric likelihood, inheriting many of the large-sample properties of the latter…”
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Maturation of Cognitive Processes From Late Childhood to Adulthood by Luna, Beatriz, Garver, Krista E., Urban, Trinity A., Lazar, Nicole A., Sweeney, John A.

“…To characterize cognitive maturation through adolescence, processing speed, voluntary response suppression, and spatial working memory were measured in 8- to…”
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Thresholding of Statistical Maps in Functional Neuroimaging Using the False Discovery Rate by Genovese, Christopher R., Lazar, Nicole A., Nichols, Thomas

“…Findingobjective and effective thresholds for voxelwise statistics derived from neuroimaging data has been a long-standing problem. With at least one test…”
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Methods and Criteria for Model Selection by Kadane, Joseph B, Lazar, Nicole A

“…Model selection is an important part of any statistical analysis and, indeed, is central to the pursuit of science in general. Many authors have examined the…”
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Evaluation of the Use of P Values in Neurosurgical Literature: from Statistical Significance to Clinical Irrelevance by Verploegh, Iris S.C., Lazar, Nicole A., Bartels, Ronald H.M.A., Volovici, Victor

“…The application and interpretation of P values have caused debate for several decades, and this debate has become particularly relevant in the past few years…”
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Nonparametric variogram modeling with hole effect structure in analyzing the spatial characteristics of fMRI data by Ye, Jun, Lazar, Nicole A., Li, Yehua

“…•The new periodic variogram model can well describe the fluctuating spatial structure of fMRI data.•The hole effect model considers both the nonlinear physical…”
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Incorporating spatial dependence into Bayesian multiple testing of statistical parametric maps in functional neuroimaging by Brown, D. Andrew, Lazar, Nicole A., Datta, Gauri S., Jang, Woncheol, McDowell, Jennifer E.

“…The analysis of functional neuroimaging data often involves the simultaneous testing for activation at thousands of voxels, leading to a massive multiple…”
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An integrative multivariate approach for predicting functional recovery using magnetic resonance imaging parameters in a translational pig ischemic stroke model by Kaiser, Erin, Poythress, J, Scheulin, Kelly, Jurgielewicz, Brian, Lazar, Nicole, Park, Cheolwoo, Stice, Steven, Ahn, Jeongyoun, West, Franklin

“…Magnetic resonance imaging (MRI) is a clinically relevant, real-time imaging modality that is frequently utilized to assess stroke type and severity. However,…”
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How to write about alternatives to classical hypothesis testing outside of the statistical literature: Approximate Bayesian model selection applied to a biomechanics study by Franck, Christopher T., Madigan, Michael L., Lazar, Nicole A.

“…By now, statisticians and the broader research community are aware of the controversies surrounding traditional hypothesis testing and p values. Many…”
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A BAYESIAN GENERALIZED CAR MODEL FOR CORRELATED SIGNAL DETECTION by Brown, D. Andrew, Datta, Gauri S., Lazar, Nicole A.

“…Over the last decade, large-scale multiple testing has found itself at the forefront of modern data analysis. Often data are correlated, so that the observed…”
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Introduction: Special Issue on Data Science by Wickham, Hadley, Bryan, Jennifer, Lazar, Nicole

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Selection of Working Correlation Structure in Generalized Estimating Equations via Empirical Likelihood by Chen, Jien, Lazar, Nicole A.

“…Generalized estimating equations (GEE) are a popular class of models for analyzing discrete longitudinal data, and do not require the specification of a full…”
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FUNCTIONAL BRAIN ABNORMALITIES ARE RELATED TO CLINICAL RECOVERY AND TIME TO RETURN-TO-PLAY IN ATHLETES by Lovell, Mark R., Pardini, Jamie E., Welling, Joel, Collins, Michael W., Bakal, Jennifer, Lazar, Nicole, Roush, Rebecca, Eddy, William F., Becker, James T.

“…Abstract OBJECTIVE The relationship between athlete reports of symptoms, neurophysiological activation, and neuropsychological functioning is investigated in a…”
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Sparse geostatistical analysis in clustering fMRI time series by Ye, Jun, Lazar, Nicole A., Li, Yehua

“…► Our proposed method can be considered as a two-step spatio-temporal cluster analysis. The first step is to reduce the ill-balanced data by SPCA, which…”
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A Meta-Analysis of fMRI Activation Differences during Episodic Memory in Alzheimer's Disease and Mild Cognitive Impairment by Terry, Douglas P., Sabatinelli, Dean, Puente, A. Nicolas, Lazar, Nicole A., Miller, L. Stephen

“…ABSTRACT Functional MRI (fMRI) has the potential to be used as a tool to detect biomarkers related to classifying Alzheimer's disease (AD) and its prodromal…”
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Finding common task-related regions in fMRI data from multiple subjects by periodogram clustering and clustering ensemble by Ye, Jun, Li, Yehua, Lazar, Nicole A., Schaeffer, David J., McDowell, Jennifer E.

“…We propose an innovative and practically relevant clustering method to find common task‐related brain regions among different subjects who respond to the same…”
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Geostatistical analysis in clustering fMRI time series by Ye, Jun, Lazar, Nicole A., Li, Yehua

“…Clustering of functional magnetic resonance imaging (fMRI) time series—either directly or through characteristic features such as the cross‐correlation with…”
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