Propensity Scores
Application of propensity scores to explore the effect of public reporting of medicine use information on rational drug use in China: a quasi experimental design
... the propensity score was estimated with the intervention as the outcome and the doctors’ characteristics as the pre- dictive ...close propensity scores, and similar characteristics were included in ...
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Program evaluation of agricultural input subsidies in Malawi using treatment effects: methods and practicability based on propensity scores
... calculated propensity scores as defined in equation (2) and (4) is not enough to estimate average treatment effects of an intervention (Dehejia and Wahba, 1999; Cameron and Trivedi, 2005; Becker and Ichino, ...
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Combining distributed regression and propensity scores: a doubly privacy-protecting analytic method for multicenter research
... site-specific propensity score models because pro- pensity scores are sensitive to the prevalence of exposure in the population under ...same propensity score ...estimate propensity ...
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Something from nothing: Estimating consumption rates using propensity scores, with application to emissions reduction policies
... whereby propensity scores can be used to adjust a variable affected by a short observation window in sample surveys, a longstanding problem precluding distributional ...
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Propensity score interval matching: using bootstrap confidence intervals for accommodating estimation errors of propensity scores
... of propensity scores using confidence intervals, interval matching has another methodologically sound ...estimated propensity scores in relatively sparse areas where it is less likely to find ...
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Evaluating state programmes: ?natural experiments? and propensity scores
... However, there is some possibility that a participation equation could be made “too good” and needlessly reduce the degree of overlap. If we knew that a variable actually did not affect the response, we would not care ...
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Weighting Regressions by Propensity Scores
... the propensity scores can somehow be estimated with reasonable accuracy, weighting the regression should reduce ...the propensity scores but not the causal model, a good option might be ...
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Application of propensity scores to estimate the association between government subsidy and injection use in primary health care institutions in China
... used propensity scores to estimate the probability that a health sector would receive a high government subsidy based on spe- cific ...The propensity score was estimated using logistic regression, ...
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Benefits of ICU admission in critically ill patients: Whether instrumental variable methods or propensity scores should be used
... the propensity-matched sample. Indeed, the propensity- based estimates were similar to those obtained with con- ventional multivariate regression models, supporting a negative effect of ICU admission on ...
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Estimating the Efficacy of Wildfire Management Using Propensity Scores
... weighted propensity score blocking prescribed fire treatment effect is not statistically different than the OLS estimate, whereas the propensity score blocking group effects and weighted control score ...
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On the use of propensity scores in case of rare exposure
... the propensity score’, ...compared propensity and disease risk score methods for the estimation of an exposure effect in the context of rare ...score, propensity score and traditional multivariable ...
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What is propensity score modelling?
... the propensity score. Carnua et al [1] used the difference in mean propensity scores for those treated and not treated, divided by the standard deviation (the standardised mean difference or SMD) and ...
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Matching on the Estimated Propensity Score
... the propensity score as the conditional probability of assignment to a treatment given a vector of covariates including the values of all treatment ...the propensity score is enough to remove the bias ...
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The Relationship between WISC-IV Scores and North Carolina State Achievement Test Scores
... constructs (i.e., intelligence correlates more highly with mathematical abilities than with reading abilities). However, in comparing these findings with those presented in the WISC- IV technical manual, an inconsistency ...
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Using Classroom Observation Scores Instead of Test Scores as Criterion in the Estimation of Discrimination Index
... assessment scores as external criteria and the use of traditional test scores in estimating item discrimination ...observation scores and test scores, test scores and classroom ...
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Latent Variables and Propensity Score Matching
... We find, generally, that estimating the latent variable and using this estimate for propensity score matching lowers the variance of the average treatment estimators. The variance is seemingly smaller with small ...
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Written Explanation of Temperament Scores
... The Carey and McDevitt Infant Temperature Questionnaire is issued to the parent(s) at the 6- month health supervision examination.. About 88% of those questionnaires issued are completed[r] ...
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2011 Buxton Propensity Report - Fianancials
... FINANCIAL SERVICES PURCHASED INDIVIDUAL HEALTH INSURANCE THROUGH AN ONLINE OR WEB-BASED SERVICE 145 FINANCIAL SERVICES TYPE OF INVESTMENT - INVESTMENT COLLECTIBLES (ART, ANTIQUE CARS, ET[r] ...
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Propensity to Consider Cycling for Commuting Trips
... Description Car as a driver is the current chosen mode of transport from home to work Car as a passenger is the current chosen mode of transport from home to work Bus is the current chos[r] ...
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Pass it on: towards a political economy of propensity
... of propensity rather than purpose and it seems to me to fit this strand of Tarde’s work much more ...to propensity and support it, not to guide but to ‘second’: as Laoxi puts it, to ‘help what comes of its ...
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