Sentence examples for achieved propensity from inspiring English sources

First, when a good covariate balance is achieved, propensity score analysis does not rely on the correct specification of the functional form of the relationship (for example linearity or log linearity) between the outcome and the covariates, which is not the case with linear regression models when covariate distributions are very different between groups.

However, the balancing of measured characteristics achieved by propensity score limits the extent of the confounding that is possible.

Higher numbers matched are usually achieved with propensity matching (on a single estimate of likelihood) than individual matching (on a number of matching criteria).

It is unclear whether much confounding persists in our analysis, given the approximate initial balance observed in numerous measured factors and the further balance achieved after propensity score matching.

Table  2 demonstrates the close balance achieved after propensity score matching between treatment groups for these 17 initially-imbalanced covariates (i.e., the italicized covariates in Table  2) and 14 other important covariates.

In order to achieve a propensity score model that minimizes the conditional bias, it is important to determine predictors and confounders of the intervention outcome relationship and to identify predictors of exposure, i.e. we determined variables with significant effect on the probability of being privatized [ 48].

The reduction in baseline imbalance using the physician's specialization was close to that achieved using the propensity score method.

Nevertheless, the ACCE Method may provide a novel approach for estimating residual confounding either quantitatively or qualitatively, and thus provide treatment effect estimates that may be an improvement over what has been achieved by conventional propensity score or regression methods.

When no statistical significance could be achieved for the doublet propensity value of a given nucleotide pair position, the log2 scaled doublet propensity value was set to 0. We calculated the square sum of all log2-scaled positive and negative doublet propensities, which are color-coded in the upper and lower triangular portions of the matrix, respectively.

Weighted differences in means between SU and GMW were then computed to test if the propensity scores achieved reasonable balance among observables between SU and GMW [2, 4, 8, 9].

Despite a good deal of progress achieved, predicting brake squeal propensity is as difficult as ever as not all mechanisms and interactions are known owing to their highly fugitive complex nature.