Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 19 of 19 for “"propensity scores"”.
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Impact of Race on Use of Disease-Modifying Therapy in Multiple Sclerosis
… (CIS) in whom treatment status was known. Propensity scores for likelihood of being on DMT were calculated based on multiple clinical characteristics. Subclassification and matching techniques were applied using the propensity scores, and odds ratios were calculated to determine odds of …
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Modeling Air Source Heat Pump Adoption Propensity and Simulating the Distribution Level Effects of Large-Scale Adoption
… utilities to effectively model the ASHP adoption propensity of each household in their jurisdiction using readily available data. The resulting household-level propensity scores can be employed to guide targeted marketing efforts or aggregated to help guide program design. Additionally, we …
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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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An Expandable Stage-Based Machine Learning and Statistical Pipeline for Detecting Adverse Drug Reaction Risks on Complex Multidimensional Datasets
… drug–ADR associations through a multivariable, propensity-adjusted framework tailored to demographic and clinical subgroups. The pipeline begins with a drug selection stage, enabling prioritization of relevant drug exposures using Random Forest classifiers or chi-square tests. Subsequent stages …
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Effects of credit rating change on risk-taking
… cross-sectional regressions and matching using propensity scores and Barber and Lyon (1997) methodology to measure changes in risk-taking and we do find evidence of changes in managerial risk-taking behavior. Furthermore, we find that the direction of change (increase or decrease) in some cases …
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An Evaluation of the Effects of the Search for Education, Elevation, and Knowledge (SEEK) Program on Short- and Intermediate-Term Outcomes
… this program on student outcomes.</p> <p> Using propensity scores to match SEEK students to similar non-SEEK students to measure overall programmatic effects, the findings suggest that the SEEK program is associated with significant positive impacts on students’ grade point averages and credits …
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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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Do Statins Improve Outcomes in Patients With Asthma on Inhaled Corticosteroid Therapy? A Retrospective Analysis of the Mississippi Medicaid Database 2002-2004.
… 2 subjects from the unexposed population using propensity scores computed using age, gender, race, urban/rural region and Charlson Comorbidity Index. The two groups were follofor 1 year beginning on the index date, and their outcomes in terms of hospitalizations and ER visits were compared using …
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Identificação do efeito causal no modelo de mediação com variáveis latentes
… than two classes. We also propose the use of propensity scores in structural marginal models with latent variables. To evaluate the effectiveness of our proposed methods, Monte Carlo simulation studies were conducted under different scenarios of violation of causal identification assumptions. …
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A Comparison of Clinic-Based and Telehealth Parent-Child Interaction Therapy
… into either clinic or telehealth treatment, so propensity scores were computed to control for pre-existing variability between groups due to selection bias. Paired t tests confirmed that all caregiver and child outcome variables changed significantly from pre- to post-treatment, including child …
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Separability of Effects in the Analysis of Complex Observational Data
… Logistic regression was used initially, using propensity scores to address the non-ignorable treatment assignments. Propofol was found to be no more or less risky than other drugs used for the same purpose. This analysis has limitations caused by the presence of structural zeros, leading to …
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Using Matching Methods From Both Fisher's Experimental Design and Rubin's Causal Model to Compare Between Two Medical Facilities with Extremely Skewed Number of Subjects
… dataset while RCM, for larger dataset by using propensity scores to balance the matching sets.</p>
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Nature Reserves and Households in Rural China: Migration, Off-farm Work, and Income
… time, and types. To reduce selection bias, propensity scores matching (PSM) is carried out to match counties with nature reserves to counties that have a similar possibility of establishing nature reserves, but that do not yet have any. Considering that counties with nature reserves might …
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Drug repurposing : design, emulation and analysis of synthetic in-silico clinical trials using electronic health records and modern data analytics
… of how physicians prescribe drugs, using propensity scores. Several Cox regression based semi-parametric methods are also reviewed for survival analysis. Chapter 4 offers baseline characteristics for a comprehensive insilico randomized controlled trial with a total of 640 model …
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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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Networking in the venture capital industry
… business administration, for example. I employ propensity scores and smooth coefficient models to estimate the treatment effect of educational networks of different degrees. This study contributes to the economic literature by attempting to distinguish knowledge, skills and educational …
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Impact of Parent Reported Adverse Experiences and Other Family Stressors on Child Development and Home Visitation Participation Among Immigrant Families
… Paper two, I used logistic regression to derive propensity scores for CPS involvement, which were then used in a multinomial regression to predict the duration of home visitation involvement. In Paper three, I present a path analysis to understand how baseline characteristics and home visitation …
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A DATA-DRIVEN PRIORITIZATION ALGORITHM FOR MEDICATION REVIEW IN OLDER ADULTS: FROM REAL-WORLD EVIDENCE TO CLINICAL PRACTICE
… regression models, adjusted for high-dimensional propensity scores, were used to estimate the odds ratios (ORs) of all-cause hospitalization associated with each PII. All six PIIs were significantly associated with increased hospitalization risk. The highest risks were observed for FRIDs (OR 1.62, …
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The analysis of determinants and barriers of household sustainable energy transitions in Tanzania
… health related outcomes respectively. We used propensity score matching techniques to ascertain the impact of household energy transitions. We estimated the propensity scores, chose the appropriate matching algorithm to do the matching, assessed the matching quality and performed a sensitivity …