# overview
My research focuses on statistical methodology and application in bioinformatics, nutrition, biostatistics and epidemiology, and functional/longitudinal data analysis.

# keywords[]
Reverse Transcriptase Polymerase Chain Reaction

# educationAndTraining[].organization.label
University of California, Berkeley - (Berkeley, California, United States)

# publications[].label
Application of redefined human chorionic gonadotropin curves for the diagnosis of women at risk for ectopic pregnancy.

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Protection of mammography screening against death from breast cancer in women aged 40-64 years.

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Defining the curve when initial levels of human chorionic gonadotropin in patients with spontaneous abortions are low.

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Smoothing noisy data for irregular regions using penalized bivariate splines on triangulations

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fat-1 transgene expression prevents cell culture-induced loss of membrane n-3 fatty acids in activated CD4+ T-cells.

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Human chorionic gonadotropin profile for women with ectopic pregnancy.

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Decline of serum human chorionic gonadotropin and spontaneous complete abortion: defining the normal curve.

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Grouping of complex substances using analytical chemistry data: A framework for quantitative evaluation and visualization.

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Reduced Rank Mixed Effects Models for Spatially Correlated Hierarchical Functional Data.

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Efficient estimation in marginal partially linear models for Longitudinal/Clustered data using splines

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Efficient Estimation in Marginal Partially Linear Models for Longitudinal/Clustered Data Using Splines

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Estimation of a probability density function using interval aggregated data

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Analysis of energy expenditure in diet-induced obese rats with abnormal metabolism of amino acids

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Collective Estimation of Multiple Bivariate Density Functions With Application to Angular-Sampling-Based Protein Loop Modeling

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Varying-coefficient models and basis function approximations for the analysis of repeated measurements

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Measuring screening intensity in case-control studies of the efficacy of mammography.

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Model selection using modified AIC and BIC in joint modeling of paired functional data

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Validation of self-reported screening mammography histories among women with and without breast cancer.

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Rapid publication-ready MS-Word tables for two-way ANOVA.

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Rapid publication-ready MS-Word tables for one-way ANOVA.

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Analysis of energy expenditure in diet-induced obese rats.

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Efficient semiparametric estimation in generalized partially linear additive models for longitudinal/clustered data

# publications[].publisher
Bernoulli Society for Mathematical Statistics and Probability

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Joint Estimation of Monotone Curves via Functional Principal Component Analysis.

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Development of the Texas A&M Superfund Research Program Computational Platform for Data Integration, Visualization, and Analysis.

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Symptomatic patients with an early viable intrauterine pregnancy: HCG curves redefined.

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Detrimental effects of electron beam irradiation on the cowpea bruchid Callosobruchus maculatus.

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Optimal Chemical Grouping and Sorbent Material Design by Data Analysis, Modeling and Dimensionality Reduction Techniques.

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Early and delayed benefits of HIV-1 suppression: timeline of recovery of innate immunity effector cells.

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Sparse linear discriminant analysis with applications to high dimensional low sample size data

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Protein Structure Classification and Loop Modeling Using Multiple Ramachandran Distributions.

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Effects of check size on visual cortex activation studied by functional magnetic resonance imaging.

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Joint modelling of paired sparse functional data using principal components.

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Functional data analysis of generalized regression quantiles

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Evaluation of five methods for genome-wide circadian gene identification.

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Benefit of screening mammography in reducing the rate of late-stage breast cancer diagnoses (United States).

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Proapoptotic effects of dietary (n-3) fatty acids are enhanced in colonocytes of manganese-dependent superoxide dismutase knockout mice.

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Dietary fish oil inhibits antigen-specific murine Th1 cell development by suppression of clonal expansion.

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Longitudinal functional principal component modeling via Stochastic Approximation Monte Carlo.

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Efficient estimation of semiparametric copula models for bivariate survival data

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Polynomial spline estimation and inference for varying coefficient models with longitudinal data

# publications[].publisher
Institute of Statistical Science, Academia Sinica

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Retrospective drug utilization review, prescribing errors, and clinical outcomes.

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Dietary fish oil and curcumin combine to modulate colonic cytokinetics and gene expression in dextran sodium sulphate-treated mice.

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Reliability of Hysterosalpingogram (HSG): Clinicians vs. Radiologists

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Principal Component Analysis of Two-Dimensional Functional Data

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Classification of estrogenic compounds by coupling high content analysis and machine learning algorithms.

# researcherOn[].label
Comprehensive Tools and Models for Addressing Exposure to Mixtures During Environmental Emergency-Related Contamination Events

# researcherOn[].awardedBy.label
National Institute of Environmental Health Sciences - (Durham, North Carolina, United States)

# researcherOn[].awardedBy.preferredLabel
DHHS-NIH-National Institute of Environmental Health Sciences

# streetAddress
Texas A&M University; Department Of Statistics; 3143 TAMU

# etdChairOf[].label
Chen, Shuai (2015-04). Statistical Inference for Medical Costs and Incremental Cost-effectiveness Ratios with Censored Data. Doctoral Dissertation.

# etdChairOf[].label
Chen, Shuai (2012-07). Statistical Inference for Costs and Incremental Cost-Effectiveness Ratios with Censored Data. Master's Thesis.

# etdChairOf[].label
Pan, Huijun 1987- (2011-08). Bivariate B-splines and its Applications in Spatial Data Analysis. Doctoral Dissertation.