Search Results - "Carroll, Raymond"

Sparse semiparametric canonical correlation analysis for data of mixed types by Yoon, Grace, Carroll, Raymond J, Gaynanova, Irina

“…Summary Canonical correlation analysis investigates linear relationships between two sets of variables, but it often works poorly on modern datasets because of…”
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Selecting the Number of Principal Components in Functional Data by Li, Yehua, Wang, Naisyin, Carroll, Raymond J

“…Functional principal component analysis (FPCA) has become the most widely used dimension reduction tool for functional data analysis. We consider functional…”
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Parsimonious Model Averaging With a Diverging Number of Parameters by Zhang, Xinyu, Zou, Guohua, Liang, Hua, Carroll, Raymond J.

“…Model averaging generally provides better predictions than model selection, but the existing model averaging methods cannot lead to parsimonious models…”
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Constrained Maximum Likelihood Estimation for Model Calibration Using Summary-Level Information From External Big Data Sources by Chatterjee, Nilanjan, Chen, Yi-Hau, Maas, Paige, Carroll, Raymond J.

“…Information from various public and private data sources of extremely large sample sizes are now increasingly available for research purposes. Statistical…”
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The Healthy Eating Index-2010 is a valid and reliable measure of diet quality according to the 2010 Dietary Guidelines for Americans by Guenther, Patricia M, Kirkpatrick, Sharon I, Reedy, Jill, Krebs-Smith, Susan M, Buckman, Dennis W, Dodd, Kevin W, Casavale, Kellie O, Carroll, Raymond J

“…The Healthy Eating Index (HEI), a measure of diet quality, was updated to reflect the 2010 Dietary Guidelines for Americans and the accompanying USDA Food…”
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Joint modeling of gene-environment correlations and interactions using polygenic risk scores in case-control studies by Wang, Ziqiao, Shi, Wen, Carroll, Raymond J, Chatterjee, Nilanjan

“…Polygenic risk scores (PRSs) are rapidly emerging as a way to measure disease risk by aggregating multiple genetic variants. Understanding the interplay of the…”
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Feature screening with large‐scale and high‐dimensional survival data by Yi, Grace Y., He, Wenqing, Carroll, Raymond. J.

“…Data with a huge size present great challenges in modeling, inferences, and computation. In handling big data, much attention has been directed to settings…”
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Data integration with high dimensionality by GAO, XIN, CARROLL, RAYMOND J.

“…We consider situations where the data consist of a number of responses for each individual, which may include a mix of discrete and continuous variables. The…”
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Parameter Estimation of Partial Differential Equation Models by Xun, Xiaolei, Cao, Jiguo, Mallick, Bani, Maity, Arnab, Carroll, Raymond J

“…Partial differential equation (PDE) models are commonly used to model complex dynamic systems in applied sciences such as biology and finance. The forms of…”
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MALMEM: model averaging in linear measurement error models by Zhang, Xinyu, Ma, Yanyuan, Carroll, Raymond J.

“…We develop model averaging estimation in the linear regression model where some covariates are subject to measurement error. The absence of the true covariates…”
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Comparisons of treatment means when factors do not interact in two-factorial studies by Wei, Jiawei, Carroll, Raymond J., Harden, Kathryn K., Wu, Guoyao

“…Scientists in the fields of nutrition and other biological sciences often design factorial studies to test the hypotheses of interest and importance. In the…”
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Model Selection of Generalized Estimating Equation With Divergent Model Size by Wu, Shicheng, Gao, Xin, Carroll, Raymond James

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MODEL AVERAGING BASED ON KULLBACK-LEIBLER DISTANCE by Zhang, Xinyu, Zou, Guohua, Carroll, Raymond J.

“…This paper proposes a model averaging method based on Kullback-Leibler distance under a homoscedastic normal error term. The resulting model average estimator…”
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Two-Sample Test for Equality of Means in High Dimension by Gregory, Karl Bruce, Carroll, Raymond J., Baladandayuthapani, Veerabhadran, Lahiri, Soumendra N.

“…We develop a test statistic for testing the equality of two population mean vectors in the “large- p -small- n ” setting. Such a test must surmount the…”
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A ROBUST AND EFFICIENT APPROACH TO CAUSAL INFERENCE BASED ON SPARSE SUFFICIENT DIMENSION REDUCTION by Ma, Shujie, Zhu, Liping, Zhang, Zhiwei, Tsai, Chih-Ling, Carroll, Raymond J.

“…A fundamental assumption used in causal inference with observational data is that treatment assignment is ignorable given measured confounding variables. This…”
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A robust approach for electronic health record-based case-control studies with contaminated case pools by Dai, Guorong, Ma, Yanyuan, Hasler, Jill, Chen, Jinbo, Carroll, Raymond J

“…We consider analyses of case-control studies assembled from electronic health records (EHRs) where the pool of cases is contaminated by patients who are…”
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Predictive functional linear models with diverging number of semiparametric single-index interactions by Liu, Yanghui, Li, Yehua, Carroll, Raymond J., Wang, Naisyin

“…When predicting crop yield using both functional and multivariate predictors, the prediction performances benefit from the inclusion of the interactions…”
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Bayesian Copula Density Deconvolution for Zero-Inflated Data in Nutritional Epidemiology by Sarkar, Abhra, Pati, Debdeep, Mallick, Bani K., Carroll, Raymond J.

“…Estimating the marginal and joint densities of the long-term average intakes of different dietary components is an important problem in nutritional…”
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STRATOS guidance document on measurement error and misclassification of variables in observational epidemiology: Part 1—Basic theory and simple methods of adjustment by Keogh, Ruth H., Shaw, Pamela A., Gustafson, Paul, Carroll, Raymond J., Deffner, Veronika, Dodd, Kevin W., Küchenhoff, Helmut, Tooze, Janet A., Wallace, Michael P., Kipnis, Victor, Freedman, Laurence S.

“…Measurement error and misclassification of variables frequently occur in epidemiology and involve variables important to public health. Their presence can…”
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Measurement of Active and Sedentary Behavior in Context of Large Epidemiologic Studies by MATTHEWS, CHARLES E, KOZEY KEADLE, SARAH, MOORE, STEVEN C, SCHOELLER, DALE S, CARROLL, RAYMOND J, TROIANO, RICHARD P, SAMPSON, JOSHUA N

“…INTRODUCTION/PURPOSETo assess the utility of measurement methods that may be more accurate and precise than traditional questionnaire-based estimates of…”
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