Sentence examples for single propensity from inspiring English sources

Both Bayesian model averaging approaches offered slightly better prediction of the propensity score compared to the Bayesian approach with a single propensity score equation.

With PSM, the treated are matched on a single propensity score representing the probability of receiving the treatment given the observed characteristics; if the number of potential confounding factors is large, PSM may have the advantage of excluding a lower number of treated from the sample.

However, elucidating our pathway diagram required that we examine the effects of including/excluding specific covariables, e.g. stage and measures of prior health system contact, on the associations between previously undiagnosed diabetes and outcomes, which would not have been possible had we summarized these effects in a single propensity score.

Given a set of actual ly considered) fates A, the n-tuple (R1,..., R n) of rankings is called a profile, where each R i is a propensity profile for the individual cell lineages L = { L1,..., L n} over A. A cross-level principle will be encoded by a lineage-tissue mapping, merging the individual propensity rankings into a single ranked profile of propensities for the tissue.

In the first, one estimates a single scalar propensity score using ordered logistic regression, matches on the scalar propensity score and, proceed in a two-treatment group situation (Joffe and Rosenbaum 1999).

We therefore derived a single scalar propensity score from the regression of all remaining covariates in Tables 1 and 2. Between-group propensity score matching was performed using a "nearest neighbour" matching strategy [15].

It is prima facie unclear whether single-case propensity theories obey the probability calculus or not.

Now, appeals can be made to limit theorems — so called 'laws of large numbers' — whose content is roughly that under suitable conditions, such limiting relative frequencies almost certainly exist, and equal the single case propensities.

Similarly, Gillies objects to single-case propensities on the grounds that statements about them are untestable, and that they are "metaphysical rather than scientific" (825).

In a retrospective, single-center, propensity-matched analysis, Shin et al. [ 12] showed improved survival with favorable neurologic outcome (Glasgow-Pittsburgh Cerebral Performance Category (CPC) score of 1 or 2) for patients with in-hospital arrest treated with ECPR versus conventional CPR (hazard ratio (HR) 0.17, 95%% confidence interval (CI) 0.04 0.68).

If the program offers a single treatment, the propensity score can be estimated in a standard way using, for example, a probit or logit model, where the dependent variable is "adaptation" and the independent variables are the factors thought to influence adaptation and outcome (Getachew et al. 2011b).