Brigham and Women's Hospital Surgery Resident | Former Harvard-Longwood Vascular Surgery NIH T32 + CSPH Research Fellow | Incoming BIDMC Vascular Surgery Fellow | comparative effectiveness, causal inference, machine learning
To me, the advantage of causal inference methods lies in the explicit formulation of what one aims the estimate and the assumptions made. While you cannot prove causality, you can agree or disagree with assumptions and you can do sensitivity analyses (triangulation)
December 5, 2024 at 7:48 AM
To me, the advantage of causal inference methods lies in the explicit formulation of what one aims the estimate and the assumptions made. While you cannot prove causality, you can agree or disagree with assumptions and you can do sensitivity analyses (triangulation)
At BWH we do trough anti-Xa monitoring selectively in high bleeding risk patients and patients with suspected altered kinetics (eg renal dz), generally do not routinely monitor for ppx dosing for the reasons you cited
November 23, 2024 at 2:59 PM
At BWH we do trough anti-Xa monitoring selectively in high bleeding risk patients and patients with suspected altered kinetics (eg renal dz), generally do not routinely monitor for ppx dosing for the reasons you cited