My research focuses on developing and applying innovative statistical methods to solve complex problems in health research and beyond.
Development and application of statistical methods for analyzing complex health data, with a focus on longitudinal and multilevel modeling.
Development of risk prediction models using conventional and modern predictive analytic tools
Development and validation of patient-reported outcome measures, with a focus on measurement invariance and differential item functioning.
Statistical methods for evaluating health interventions and policies, with a focus on causal inference and real-world evidence.
Development and evaluation of a patient-centered electronic outcome assessment system for acute stroke trials
My research has been published in leading journals in biostatistics, clinical research, and health services research. For a complete list of publications, please visit my profiles:
I’m always open to new research collaborations and opportunities to apply statistical methods to solve real-world problems.