Area of research
Statistics and Probability · Economics and Econometrics
Research interest
His research is funded by multiple NIH, PCORI, BWF, and FDA grants and focuses on the comparative effectiveness and safety of biopharmaceuticals. He has developed analytic methods to improve the scientific validity of epidemiologic analyses using complex longitudinal healthcare databases particularly for newly marketed medical products. Applying such methods in rapid analysis cycles for sequential medication effectiveness monitoring and rapid response analyses is the overarching theme of his research. He is Aetion Inc.’s co-founder and Science Advisor were he develops a range of rapid-cycle analytics platforms for healthcare database networks around the world.
Transparent Reporting of Observational Studies Emulating a Target Trial—The TARGET Statement
Process guide for inferential studies using healthcare data from routine clinical practice to evaluate causal effects of drugs (PRINCIPLED): considerations from the FDA Sentinel Innovation Center
Measurement error and bias in real-world oncology endpoints when constructing external control arms
Emulation of Randomized Clinical Trials With Nonrandomized Database Analyses
Hydroxychloroquine lowers Alzheimer’s disease and related dementias risk and rescues molecular phenotypes related to Alzheimer’s disease
Transparency of high‐dimensional propensity score analyses: Guidance for diagnostics and reporting
Prescribing trends and clinical characteristics of patients starting antiobesity drugs in the <scp>United States</scp>
Greedy caliper propensity score matching can yield variable estimates of the treatment‐outcome association—A simulation study
Medications for chronic obstructive pulmonary disease: a historical non-interventional cohort study with validation against RCT results
Comparison of Machine Learning Methods With Traditional Models for Use of Administrative Claims With Electronic Medical Records to Predict Heart Failure Outcomes
Real world effects of COPD medications: a cohort study with validation against results from randomised controlled trials
Comparison of alternative approaches to trim subjects in the tails of the propensity score distribution
The reporting of studies conducted using observational routinely collected health data statement for pharmacoepidemiology (RECORD-PE)
Network-based approach to prediction and population-based validation of in silico drug repurposing
Validation of a Claims-Based Frailty Index Against Physical Performance and Adverse Health Outcomes in the Health and Retirement Study
Real-world effects of medications for chronic obstructive pulmonary disease: protocol for a UK population-based non-interventional cohort study with validation against randomised trial results
Measuring Frailty in Medicare Data: Development and Validation of a Claims-Based Frailty Index
Good Practices for Real‐World Data Studies of Treatment and/or Comparative Effectiveness: Recommendations from the Joint ISPOR‐ISPE Special Task Force on Real‐World Evidence in Health Care Decision Making
Good practices for real‐world data studies of treatment and/or comparative effectiveness: Recommendations from the joint <scp>ISPOR‐ISPE</scp> Special Task Force on real‐world evidence in health care decision making
Claims‐based studies of oral glucose‐lowering medications can achieve balance in critical clinical variables only observed in electronic health records
“Threshold‐crossing”: A Useful Way to Establish the Counterfactual in Clinical Trials?
Scalable Collaborative Infrastructure for a Learning Healthcare System (SCILHS): Architecture
Metrics for covariate balance in cohort studies of causal effects
Clinical and Health Care Use Characteristics of Patients Newly Starting Allopurinol, Febuxostat, and Colchicine for the Treatment of Gout
One‐to‐many propensity score matching in cohort studies
The U.S. Food and Drug Administration's Mini‐Sentinel program: status and direction
Differential risk of death in older residents in nursing homes prescribed specific antipsychotic drugs: population based cohort study