All Stories

  1. Comparing the high-dimensional propensity score for use with administrative data with propensity scores derived from high-quality clinical data
  2. Covariate-adjusted survival analyses in propensity-score matched samples: Imputing potential time-to-event outcomes
  3. Assessing the performance of the generalized propensity score for estimating the effect of quantitative or continuous exposures on survival or time-to-event outcomes
  4. Assessing covariate balance when using the generalized propensity score with quantitative or continuous exposures
  5. Statistical power to detect violation of the proportional hazards assumption when using the Cox regression model
  6. Double propensity-score adjustment: A solution to design bias or bias due to incomplete matching
  7. Propensity score matching and complex surveys
  8. The performance of different propensity score methods for estimating absolute effects of treatments on survival outcomes: A simulation study
  9. Estimating the effect of treatment on binary outcomes using full matching on the propensity score
  10. The performance of inverse probability of treatment weighting and full matching on the propensity score in the presence of model misspecification when estimating the effect of treatment on survival outcomes
  11. Predictive accuracy of novel risk factors and markers: A simulation study of the sensitivity of different performance measures for the Cox proportional hazards regression model
  12. Events per variable (EPV) and the relative performance of different strategies for estimating the out-of-sample validity of logistic regression models
  13. Neighborhood Socioeconomic Status and Barriers to Peritoneal Dialysis: A Mixed Methods Study