Michal Abrahamowicz, PhD
biostatistics • cohort studies • comparative effectiveness • confounding • instrumental variables • non-parametric regression • pharmacoepidemiology • splines • statistical modeling • survival analysis
My research focuses on the development of new and flexible methods for the analysis of clinical and biomedical data, in particular of survival analysis, and on their applications in the studies of safety and effectiveness of drugs and treatments, cancer, arthritis and cardiovascular epidemiology.
Sylvestre M-P, Abrahamowicz M. Flexible modeling of the cumulative effects of time-dependent exposures on the hazard. Statistics in Medicine. 2009;28(27):3437-3453.
Abrahamowicz M, Beauchamp M-E, Ionescu-Ittu R, Delaney JCA, Pilote L. Reducing the variance of the prescribing preference-based instrumental variable estimates of the treatment effect. American Journal of Epidemiology. 2011;174(4):494-502
Abrahamowicz M, Beauchamp M-E, Sylvestre M-P. Comparison of alternative models for linking drug exposure with adverse effects. Statistics in Medicine. 2012, 31(11-12), 1014–1030] [doi: 10.1002/sim.4343]
Dumont A, Fournier P, Abrahamowicz M, Traore M, Fraser W. & the QUARITE Team (includes "Statistical Analyses: Burne R). QUARITE (quality of care, risk management, and technology in obstetrics): a cluster-randomised trial of a multifaceted intervention to reduce in-hospital maternal mortality in Senegal and Mali. The Lancet. 2013 May 24. pii: S0140-6736(13)60593-0
Abrahamowicz M, Beauchamp ME, Fournier P, Dumont A. Evidence of subgroup-specific treatment effect in the absence of an overall effect: is there really a contradiction? Pharmacoepidemiology and Drug Safety. 2013 August 8 [doi: 10.1002/pds.3485] [Epub ahead of print]