Although we performed an analysis based on a propensity score, the results of such trial remain warranted.
Many baseline imbalances were clinically relevant, and population quintiles, based on a propensity model, were developed to address these imbalances.
Using weights based on a propensity model with estimated pre-treatment cholesterol the effects of statins (HR = 0.74, 95% CI: 0.38, 1.42) were consistent with the RCT literature.
We therefore conducted a retrospective observational study based on a propensity score-matched analysis of data from a nationwide administrative database to examine the risk of high-dose methylprednisolone treatment after acute cervical SCI.
Using weights based on a propensity model for statins that did not include the estimated pre-treatment cholesterol we observed a slight protective association (HR = 0.92, 95% CI: 0.54-1.57).
In order to avoid selection bias of several key factors in the comparison of intervention effects between HIP and non-HIP groups, we further matched the two groups based on a propensity score.
In addition to adopting a fixed follow-up time, these methods included: 1) matching patients based on a propensity score [ 15] of extensive scope and detail [ 16], and 2) deriving intent-to-treat and post-discontinuation risk estimates [ 17].
The period following intervention start will be the predictor, while all the potential confounders listed above will be considered in the final model based on a propensity score weighting approach.
Among these high-risk groups, hospitalizations with mucormycosis were identified by the ICD-9-CM diagnosis code 117.7 (Zygomycosis [Phycomycosis or Mucormycosis]; cases) and matched to high-risk hospitalizations without a mucormycosis diagnosis (non-cases) based on a propensity score (PS).
