The performance of different propensity score methods for estimating marginal hazard ratios

Propensity score methods are increasingly being used to reduce or minimize the effects of confounding when estimating the effects of treatments, exposures, or interventions when using observational or non-randomized data. Under the assumption of no unmeasured confounders, previous research has shown that propensity score methods allow for unbiased estimation of linear treatment effects (e.g., differences in means or proportions). However, in biomedical research, time-to-event outcomes occur frequently. There is a paucity of research into the performance of different propensity score methods for estimating the effect of treatment on time-to-event outcomes. Furthermore, propensity score methods allow for the…

• HA
  Heart and Stroke Foundation of Canada
• IF
  Institute for Clinical Evaluative Sciences
• OM
  Ontario Ministry of Health and Long-Term Care
• CI
  Canadian Institutes of Health Research

  Awards: 86508, MOP 86508