Browsing Faculty of Arts and Sciences by Keyword "Causal inference"
Now showing items 1-11 of 11
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Application of novel technologies to cardiovascular prevention
(2024-01-11)This dissertation aimed to employ advanced methodologies in machine learning (ML), causal inference, and metabolomics in epidemiological research to contribute to the field of CVD prevention. First, quantifying sodium ... -
Capture-recapture Estimation for Conflict Data and Hierarchical Models for Program Impact Evaluation
(2014-06-06)A relatively recent increase in the popularity of evidence-based activism has created a higher demand for statisticians to work on human rights and economic development projects. The statistical challenges of revealing ... -
Causal Inference in Health Services Research
(2020-09-11)In Chapter 1, we introduce a common subject of health services research, the "volume-outcomes relationship," or the study of the relationship between patient outcomes and hospital and/or physician case volume. We describe ... -
Causal Inference with Limited Resources
(2022-03-17)Constraints on treatment resources present problems in many practical settings. For example, during the current coronavirus disease 2019 pandemic, several health care systems have experienced shortages of ventilators, ... -
Essays on Public School Choice and Inequality
(2023-04-26)This dissertation consists of three papers. In each paper, I use applied econometric methods to study the implications of public school choice policies. The findings offer insights about how to improve upon existing school ... -
From estimand selection to adaptive and robust estimation for causal inference: applications in clinical epidemiology
(2022-09-06)In causal inference research, subtle differences in the choice of estimand can have major implications for identifiability and interpretation. When observational data is used to estimate the chosen causal effect, an adaptive ... -
Leveraging genetic data in observational studies: methods in Mendelian randomization and applications in risk prediction modeling
(2021-03-05)Given the rapid advancements in DNA sequencing technologies over the past decade and a half, the amount of genetic data available has grown exponentially. Large-scale genome studies of complex human traits and diseases ... -
Nuclear genetic control of mitochondrial function and its contribution to human disease: insights at biobank scale
(2023-06-01)Humans rely on two genomes: the diploid nuclear genome, which encodes ~20,000 proteins, and the mitochondrial genome (mtDNA), which encodes 13 proteins and exists in many copies per cell. Crosstalk is essential: all machinery ... -
On Causal Inference in Real World Settings
(2023-05-12)In the present dissertation, we consider three classical and yet modern topics in causal inference -- surrogate markers, multi-source federated learning, and sensitivity analysis. In each case, present-day obstacles in ... -
Surgical Epidemiology: Prediction and Causation in Clinical Datasets
(2023-03-14)Many important questions on the comparative effectiveness of surgical interventions may be difficult to answer with randomized control trials due to ethical, feasibility, or logistical concerns. While the field of causal ... -
Topics in experimental and tournament design
(2014-10-21)We examine three topics related to experimental design in this dissertation. Two are related to the analysis of experimental data and the other focuses on the design of paired comparison experiments, in this case knockout ...