Sentence examples for inverse propensity from inspiring English sources
For example, Robins and colleagues [32] proposed the use of the inverse propensity score to weigh a regression model, offering in this way additional protection against misspecification.
Each participant was assigned a weight defined as the stabilized inverse propensity score.
One set of models used inverse propensity score adjustment methods with the stabilized weights trimmed (<10) to limit the impact of a few outliers.
After further weighting according to inverse propensity scores for being a respondent, the respondent population was made to have distribution on these variables similar to the distributions in the full population.
An advantage to the inverse propensity scoring method used in this analysis is that it requires fewer assumptions about the underlying data than do methods that use propensity score matching or stratification.
Finally, though we weighted the sample to account for the time-location sampling procedures and the inverse propensity score weighting adjusted for bias associated with the 18 variables we identified, we cannot adjust for potential bias from unmeasured sources.
Inverse weighted propensity scores were used to account for differences in baseline characteristics between cohorts [18].
In this analysis inverse weighted propensity scores were used to account for differences in baseline characteristics between the two cohorts, in addition insulin use and the use of any medication known to increase pancreatitis risk were adjusted for.
With this technique, weights for women with unintended pregnancy were the inverse of the propensity score and weights for women with intended pregnancy were the inverse of 1 - propensity score.
Weight in the model for patients prescribed aspirin was the inverse of the propensity score values whereas the weight for patients not receiving aspirin prescription was the inverse of (1−the propensity score).
Blue circle symbol: using the inverse of the propensity score as a weight.
