Variance estimation when using inverse probability of treatment weighting (IPTW) with survival analysis

Propensity score methods are used to reduce the effects of observed confounding when using observational data to estimate the effects of treatments or exposures. A popular method of using the propensity score is inverse probability of treatment weighting (IPTW). When using this method, a weight is calculated for each subject that is equal to the inverse of the probability of receiving the treatment that was actually received. These weights are then incorporated into the analyses to minimize the effects of observed confounding. Previous research has found that these methods result in unbiased estimation when estimating the effect of treatment on survival outcomes. However, conventional methods of variance…

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

  Award: MOP 86508
• CI
  Canadian Institutes of Health Research

  Awards: 86508, MOP 86508