Our Team

Lung cancer epidemiology and genetic epidemiology in underrepresented populations; risk prediction in lung cancer screening populations; health disparities; precision medicine; admixed populations

Diagnosis, treatment and outcomes of lung cancer; Cancer screening; Health sources research and comparative effectiveness of diagnostic tests

Lung nodule evaluation; Health services research; Lung cancer predictive modeling; Small nodule localization research

Likelihood methods for measuring statistical evidence / foundations of statistical inference; Methodology for analyzing and interpreting Receiver Operating Characteristic (ROC) curves; Design, conduct and analysis of Clinical Trials

Lung cancer screening and improvements in early detection; Differentiation of benign and malignant pulmonary nodules, particularly in areas of endemic histoplasmosis; CT imaging of coronary anomalies and atherosclerotic coronary disease

Genetic epidemiology; Human population genetics; Mechanisms of gene regulation; Machine learning applications with respect to big data analysis

Lung cancer screening; Lung nodule classification; Surgical outcomes

Innervation Mapping of Lung Cancer Tissues; Lung Cancer Screening and Treatment; Health Equity

Statistical and Genetic Epidemiology; Population Genetics

Health services research; Health disparities; Social determinants of health

Medical mistrust; Social aspects of healthcare; Addiction

Health equity; Lung cancer screening and treatment; Medical mistrust; Community engagement; Health services research; Implementation science

Measuring evidence; Statistical methods for inference (with a focus on large scale inference); Clinical prediction; Empirical Bayes approaches; Machine learning from a statistical perspective

Lung nodule classification; Surgical outcomes; Healthcare disparities

High dimensional data analysis of gene microarray and protein/lipid MALDI-TOF data; Statistical methodology development in high-dimensional data analysis, especially in the area of internal validation of a prediction model

Gene-environment interactions; Psychosocial determinants; Minority health; Health disparities

Health disparities

Racial disparities in health; Interactions between the social environment and genetics

Machine Learning Methods; Large scale statistical inference; False Discovery Rates: their interpretations and modifications

Survival analysis; Genomics

Lung cancer; Genetics; Population Admixture

Lung cancer screening

Lung cancer; COPD; Genetic Epidemiology

Missing data problems, especially how to handle missing data when applying prediction models; Large scale inference, specifically false discovery rate and empirical null ideas

Long-term health effects following exposure to ionizing radiation; Exposure and confounder identification in retrospective analyses; Cancer predictive modeling

Lung cancer; Genetics; Bioinformatics; Functional genomics

Mediation analysis: specifically, conducting mediation analysis within a classical regression framework; Understanding the mediation of a set of predictor variables; Interpreting nonlinear mediation

Prediction modeling; Biomarker analysis

Heath Bridges, David Lipscomb University

Jerod Crockett, David Lipscomb University

Nancy Liu, Vanderbilt University

Sreekar Miriyala, Vanderbilt University

Chandler Montgomery, David Lipscomb University

Shelbi Sullivan, David Lipscomb University