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Showing 1 to 20 of 256 for “"propensity score"”.
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Toward Nonparametric Propensity Score Estimation With Guaranteed Covariate Balance
… and biased treatment effect inference. The propensity score </em><em>(PS) has been widely used to adjust this covariate imbalance in observational data. However, </em><em>the propensity score analysis methods rely on a correctly specified parametric PS </em><em>model. When the model is …
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Essays on Propensity Score Methods for Causal Inference in Observational Studies
… projects and they involve different usages of propensity scores in drawing causal inferences in observational studies. </p><p>Chapter 1 talks about the general idea of causal inference as well as the concept of randomized experiments and observational studies. It introduces the three different …
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Propensity Score Matching Techniques: Simulation and Application in an Educational Research Context
<p>Propensity score matching is a relatively new technique used in observational studies to approximate data that have been randomly assigned to treatment. This technique assimilates the values of several covariates into a single propensity score that is used as a matching variable to create …
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The performance of propensity score matching and weighting methods on samples of various properties
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-12-04 without embargo terms
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Empirical essays on job search behavior, active labor market policies, and propensity score balancing methods
… 2 and 3 semi-parametric balancing methods of Propensity Score Matching (PSM) and Inverse Probability Weighting (IPW) are used to eliminate the effects of counfounding factors that influence both the treatment participation as well as the outcome variable of interest, and to establish a causal …
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Comparing Different Methods of Applying Propensity Score in Controlling Selection Bias for Studies of Prostate Cancer
… performance of four common methods of applying propensity scores—covariate adjustment, stratification, matching, and inverse probability of treatment weighting—to adjust for confounding in analyses of treatment effects among prostate cancer patients. Methods: The linked Surveillance, …
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An Analysis of All-Cause Mortality on Patients with Sickle Cell Disease and Kidney Disease using Propensity Score Matching
… to event or survival analysis and the notion of propensity score matching to deal with confounding factors. A full analysis is reported in Chapter 2 concerning mortality for in-center dialysis patients with sickle cell disease to demonstrate the application of a general analysis strategy that has …
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Causal Effect of Corporal Punishment on Children's Internalizing and Externalizing Behavioral Outcomes: Results from a Propensity Score Matching Analysis
… and externalizing behaviors by using a Propensity Score Matching (PSM) analysis. This study uses data from waves 1 and 2 of the longitudinal cohort study of the Project on Human Development in Chicago Neighborhoods (PHDCN), including 6, 9, 12, and 15 year old cohorts. Results reveal two …
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Analyzing Electricity Use of Low Income Weatherization Program Participants Using Propensity Score Analysis and a Hierarchical Linear Growth Model
<p>This evaluation utilized propensity score matching methods and a longitudinal hierarchical linear growth model to determine the effect of residential energy efficiency upgrade(s) on household electricity use for the low-income community over the course of a year in the City and County of Denver, …
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The effect of child disability/delay status and functional abilities on father involvement: an application of propensity score analysis
… that do not provide estimates of causal effects. Propensity score analysis was used to estimate the causal effect of child disability/delay status on father routine caregiving, literacy, play, and responsive caregiving involvement. The association between functional abilities and father …
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Permanency Outcomes of Children in Kinship and Non -Kinship Foster Care: Minimizing the Effects of Selection Bias With Propensity Score Matching
Analyses of proportions and survival times were conducted to investigate the permanency outcomes of children in relative and non-relative foster homes using unmatched and matched AFCARS samples. The permanency outcomes include reunification, adoption, and legal guardianship, length of stay, …
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High flow nasal oxygen versus mechanical ventilation as initial respirator support in severe COVID-19 ARDS at Groote Schuur Hospital : a propensity score analysis
… the COVID first wave at Groote Schuur Hospital. Propensity score matching was used to compare outcomes between HFNO as initial ventilation strategy and MV as first-line therapy. Eligible patients were adults (> 18 years) with severe respiratory failure and confirmed COVID-19 pneumonia. The …
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Assessing the Impact of the Jepara Furniture Value Chain Project
… association started as part of the project. The propensity score for association membership was estimated using unchanging firm and owner characteristics, as well as information recalled about firm operations in 2009 (before the association was formed). Propensity score matching was used to …
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Methods for observational studies using data from massive open online courses
… in online classes present an opportunity to use propensity score methods. Propensity score methods aim to balance the effect of self-selecting biases and other confounding variables that arise in observational studies like this, as each student decides what components they engage in throughout …
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Three Essays in Econometrics
… The proposed method has two-steps: first, the propensity score is estimated, and second, a blocking estimation procedure using this estimate is used to compute the treatment effects. In both cases, the estimators are proved to be consistent. Monte Carlo results show a better performance than …
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Ensemble Learning Methods for Educational Data Mining Applications
… study data and estimation of treatment effects. Propensity score matching has widely been accepted to counteract inherent selection bias in these studies. We present an ensemble learner for propensity score estimation, and consider the use of inverse probability of treatment weighting (IPTW), …
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Community college dual credit: differential participation and differential impacts on college access and completion
… a descriptive and quasi-experimental design. Propensity score matching is used to estimate the impact of student participation in community college dual credit courses during the senior year of high school on two outcomes: college enrollment and college completion. Propensity score matching, a …
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Evaluation of an Advanced Practice Nurse Led Inter-professional Collaborative Chronic Care Approach for Kidney Transplant Patients: The TARGET Study
… study guided by the Chronic Care Model (CCM), a propensity-score matched analysis was used to control for confounding variables and potential selection bias. The propensity-score model included the co-variates: a) estimated glomerular filtration rate, b) age, c) sex, d) kidney donor type, and e) …
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Comparative Effectiveness of Second Generation Antidepressants on Cognition and Dementia in the Elderly
… and t-tests for continuous variables. A multiple propensity score-adjusted Repeated Measures Mixed Model was used to evaluate the comparative effectiveness of SSRIs, SNRIs and Tetracyclics with respect to cognition. A multiple propensity score-adjusted Cox Proportional Hazards Model was used to …
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