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 11 of 11 for “"Treatment Effect Estimation"”.
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Rethinking Machine Learning for Heterogeneous Treatment Effect Estimation
The need to estimate the causal effect that a treatment, policy or other intervention had on an outcome variable is a problem which ubiquitously appears in fields ranging from economics to marketing and medicine. Historically, population average effects have been the main estimand of interest, …
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Ensemble Learning Methods for Educational Data Mining Applications
… with specific focus on estimating individualized treatment effects (ITE). ITE are a measure from the personalized medicine literature that can, for each student, quantify the impact of the intervention strategy on student performance, even though the given student either did or did not experience …
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Statistical Analysis of Treatment Compliance for Clinical Trials using Electronic Compliance Monitoring
… hazards models we compare analyses using a fixed treatment covariate and time-varying compliance covariate based on pharmacokinetic principles in estimating treatment effect. We observe a reduction of up to 40% in EMSE in favour of the latter model for treatment effect estimation.
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Essays on Tree-based Methods for Prediction and Causal Inference
… specific estimates are obtained for the effect of a Time-of-Use pricing scheme on peak demand. The most and least responsive households differ across education, age, employment status, and past electricity consumption. The results suggest that past consumption information is more useful …
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Essays on Experimental Design
… is over-specified. The second chapter studies treatment effect estimation in a novel two-stage model of experimentation. In the first stage, using baseline covariates, the researcher selects units to participate in the experiment from a sample of eligible units. Next, they assign each selected …
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Recent Advances on Statistical Network Analysis and Multi-task Learning for Complex Data
… study design stage to improve the precision of treatment effect estimation. To support this, I develop a multi-task learning approach that leverages historical trials of the treatment being studied to identify prognostic variables, which can guide the design and analysis of new studies. The …
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Anticipating, Extracting, and Leveraging Information in Clinical Decision-Making
… in a dataset can inform model selection for treatment effect estimation.
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Three essays on the adoption and impacts of improved maize varieties in Ethiopia
… essay estimates poverty impacts. Field-level treatment effects on yield and cost changes with adoption are estimated using instrumental variable techniques, with treatment effect heterogeneity fully accounted for in marginal treatment effect estimation. A backward derivation procedure is then …
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Causal Inference and Evidence-Grounded Language Models for Trustworthy Personalized Clinical Decision Support
… population-level estimates toward individualized treatment effects. We introduce a treatment-response–aware phenotyping framework that integrates post-intervention outcomes into patient clustering, enabling the discovery of subgroups defined by differential treatment response. Building on this, we …
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Essays on Martech: Learning to Design, Deliver, and Diffuse Interventions
… one develops an algorithm to predict the causal effect of influencer video advertising on product sales. A summary statistic, motion-score, or m-score, is proposed to capture the extent to which a product is advertised in the most engaging parts of a video. Pixel-level product placement is …
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Paths to AI Accountability: Design, Measurement, and the Law
… to AI measurement: quantifying AI behaviors and effects through systematic observations and procedures. We illustrate the importance of AI measurement through three case studies: (i) a black-box audit for social media algorithms; (ii) an estimator and experiment design for individual treatment …