SILVER Lab

SILVER lab

Statistical Information integration and Learning and for multiVariate hEathcaRe data

[Our lab is seeking highly motivated master/PhD students and postdoctoral fellows to join our research group! Please do not hesitate to contact the PI if you are interested in any of these researches.]

SILVER lab focuses on developing novel analytical methods in health data science. The developed methods aim to better 

• Depict patient-level heterogeneity for treatment effects, 

• Identify high risk subcohort leading poor health outcomes, 

• Detect timely and effective treatment strategies, 

• Predict health outcomes promoting early intervention,

• Predict biological age and age acceleration.

Our application focuses on  (but not limited to) the following populations

• Older adults living with cognition conditions (AD/ADRD)

• Patients with multimorbidity

• T2D patients with heart or cardiovascular diseases. 

The developed methods / methods under development include (but not limited to)

• Integrating multivariate secondary/surrogate outcomes

• Casual inference and machine learning

• Integrating summary information from external data

• Target trail emulation

Our lab also offers collaboration services and consulting, including (but not limited to)

• (Time varying) propensity score matching/weighting for treatment comparison 

• Target trial emulation

• Time-to-event analysis with time-varying covariates

• Prediction of multivariate outcomes using machine learning

• Trial design