propensity score estimation
Analyzing the Socio-economic Impacts of Mining with Propensity Score Matching (PSM): Insights for Responsible Mining in Caraga Region, Philippines
... with propensity score matching, which uses a probit model in the estimation of propensity scores similar to Rejesus et ...the estimation of the propensity scores are likewise ...
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0962280217750175.pdf
... a propensity score estimation using only case samples and we provide sufficient conditions for the consistency of the estimation of the causal log-odds ratio using case-based propensity ...
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Teenage Pregnancy in Mexico: Evolution and Consequences
... the propensity score is that the information of all ob- servable characteristics is summarized in a single ...the propensity score may include interactions and higher order terms (Dehejia and ...
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Propensity score interval matching: using bootstrap confidence intervals for accommodating estimation errors of propensity scores
... the propensity score) of being a rural nursing home for each nursing ...other propensity score estimation models, but without loss of generality, logistic regression was used in this ...
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Within Day Energy Balance and the Relationship to Injury Rates in Pre Professional Ballet Dancers
... the propensity score strata as the second factor, and a covariate as the dependent ...the propensity score strata should be considered in determining the balance attained by a ...the ...
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The specification of the propensity score in multilevel observational studies
... the propensity score, asserts that conditioning on the propensity score, X and T are independent: X ⊥ T | ...same propensity score have the same distribution of characteristics ...
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Wyss_unc_0153D_15111.pdf
... same-sample estimation. Glynn suggests that out-of-sample estimation of the DRS can be particularly advantageous when evaluating evolving drug therapies because the first patient receiving the new treatment ...
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Early Land Redistribution and the Food Security of South African Households: Micro-econometric evidence from national data
... the propensity to report difficulties satisfying food needs, with households in the Eastern Cape (the omitted category) appearing the most often food insecure and households in Gauteng the ...
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Hammill_unc_0153D_15492.pdf
... another group has a very low treatment rate, there may not be enough within-provider variation to allow for appropriate comparisons when adjusting for provider in the analysis. In fact, if there are too many providers ...
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Conflicts of Interest: The authors have no competing interests and nothing to disclose. Key Words: insurance claims, reproducibility, propensity score, veridical data science,
... We have presented a very simple and standard use of propensity methods for estimating the causal effects of a treatment on the outcomes of interest that are routinely used. We showed methods that can make the ...
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Adaptive Experimental Design Using the Propensity Score
... efficient estimation of causal ...the propensity score, the conditional probability of treatment given ...the propensity score to minimize the asymptotic variance bound for estimating ...
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The effect of labor epidural analgesia on labor, delivery, and neonatal outcomes: a propensity score-matched analysis in a single Japanese institute
... the propensity score adjustment, but after propensity score matching, the rates of cesarean delivery between groups were comparable, and thus the cesarean section rate did not increase due to ...
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Horvath_unc_0153D_17577.pdf
... Third, I implement two strategies to test whether spell fixed effects alleviate endogeneity concerns. The first strategy includes school-specific linear trends in estimation to allow for the possibility that ...
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Arpino Stata 2018
... Propensity score matching with clustered data in Stata.. Bruno Arpino.[r] ...
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The Effects of Breastfeeding on Childhood BMI: A Propensity Score Matching Approach
... 6,11 Propensity score matching (PSM) is a tech- nique that tries to mimic a randomized trial while relax- ing some of these ...used propensity score (PS) approaches, 11,30,31 including a ...
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Royalty stacking in the U S freight railroads: Cournot vs Coase
... The ML method that we use in this estimation is neural net. Neural nets have been previously used in economics and finance literature (e.g., White (1988), Swanson and White (1997), Qi (1999)). Neural nets consist ...
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A Propensity Score Matching Study of Community College Athletics.
... the propensity score matching provided a good fit in determining that seven variables (age, male, African American, American Indian, taking courses to transfer, not having any financial aid, and having ...
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A propensity score analysis of public incentives: The Italian case
... which propensity score matching is an important subset, are attractive because focus attention on a specific causal effect of interest, and treat all variables other than the treatment variable as ...
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Investigating the economic case of a service to support carers of people with dementia : a cross-sectional survey-based feasibility study in England
... the propensity score to be used in the Propensity Score Matching Simi ar y we contro ed for the same independent variab es in the IV regression for which the instrument was the trave time to ...
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On the use of propensity scores in case of rare exposure
... studies, propensity score (PS) analysis has been increasingly used ...the estimation of the probability of exposure conditional on baseline confounding ...the estimation of treatment ...
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