Tuesday, March 1st Biostatistics Journal Club
Seminar title is: “Sensitivity Analysis in Observational Studies: an example in a study examining the association between SUD quality indicators and mortality using VHA data.”
The place is: COPH 2280
The time is: 12:00 – 1:00pm.
Our speaker will be: Song Ounpraseuth, PhD.
Propensity score methods and regression-based covariate risk adjustment approaches are generally used to control for differences in comparison groups based on observable characteristics. A complication to examining the association between receipt of care and mortality using observational data is that the amount and quality of care received by patients could differ for those who are relatively severely ill in a way that is unexplained by the measured data on patient risk factors. Here, we apply a sensitivity analysis approach described by Lin and colleagues (1998) to examine how large an effect an unobserved confounder would need to be to invalidate our statistically significant findings.