Sentence examples for based on estimated propensity from inspiring English sources
The population is divided into subgroups based on estimated propensity score, and the exposed and unexposed subjects are compared within strata of propensity score.
Observational study designs based on estimated propensity scores can estimate an approximately unbiased treatment effect 17.
The second estimation is based on estimated propensity scores – or a conditional probability to contract or to join cooperatives – and uses these as additional control variables in the regression model.
Observational study designs based on estimated propensity scores can generate approximately unbiased treatment effect estimates.
We performed one-to-one matching analysis between the antithrombin and control groups, based on estimated propensity scores for each patient [24, 25].
We estimate this treatment effect using two propensity score matching estimators, a reweighting estimator based on the estimated propensity score and a genetic matching estimator.
Once a propensity score estimation is computed, the next step is to match the treated (vertically coordinated farms) to a control group (non-coordinated farms) based on the estimated propensity score (Lombardi et al. 2015; Pascucci et al. 2016; Caracciolo and Furno 2017).
Patients were grouped into deciles based on their estimated propensity score, and patients were then compared within each stratum using the pooled logistic regression.
Propensity scores were then estimated for each group and subjects were matched on the estimated propensity to receive RCHOP versus CHOP [ 20].
The second cohort (stratified-matched population) included rituximab-treated and anti-TNF-agent treated panti-TNF-agent treatedified by prior treanti-TNF-agent treated two or more anti-TNF agents, and then matched within each stratum based on patientsty score estimated whohin each strata wereout replacement, ustratifieders of 0.01.
Based on the values of conditioning variables, each subject had an estimated propensity score, which is the predicted probability of using a proxy.
