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Optimizing Methods for Suicide Prediction
(2022-05-23)
Suicide is one of the leading causes of death worldwide, yet clinicians find it difficult to reliably identify individuals at high risk for suicide. Algorithmic approaches for suicide risk detection have been developed in ...
Discriminative Sequence Models Extract Personally Identifiable Information from Public Gene Expression Datasets
(2022-05-25)
The growing scale of functional genomics datasets is enabling researchers to better understand the genetic determinants of gene expression, for example through expression quantitative trait loci (eQTL) studies.
With an ...
OpenDP Programming Framework for Renyi Privacy Filters and Odometers
(2022-05-23)
Data scientists work with large-scale sensitive data, which inevitably leads to privacy risks. Differential Privacy (DP) is a mathematical definition of privacy that aims to mitigate privacy risks inherent in data analysis ...
Policy and Inequality in the Criminal Legal System
(2022-03-17)
This dissertation contains three chapters exploring the application of law and bureaucratic practices in law enforcement agencies and their impacts on community welfare across race and class. Chapter 1 is an analysis of ...
New Methods for Causal Inference in Randomized Experiments and Observational Studies
(2022-05-12)
A fundamental goal of numerous studies across social and health sciences is to estimate the causal effect of an intervention or treatment on an outcome in a well-defined target population. In view of this goal, the ...
Statistical Methods for Mortality and Mobility Estimation after Natural Disasters
(2022-05-11)
Population displacement may occur after natural disasters, permanently altering the demographic composition
of the affected regions. Measuring this displacement is vital for both optimal post-disaster resource
allocation ...
Essays on Identification and Causality
(2022-04-20)
This dissertation contains three chapters in econometrics. A common theme is identification analysis, with a particular focus on understanding what researchers can learn from data under weak assumptions on economic behavior ...
Innovative Approaches for Risk Assessment in Panel Gene Testing
(2022-06-06)
Panel germline tests simultaneously detect multiple pathogenic variants, typically grouped by association with a higher risk of developing certain cancers or syndromes. Next-generation sequencing has made testing for many ...
Essays on measurement and causal inference in education
(2022-06-06)
This dissertation consists of three essays at the intersection of psychometrics and causal inference in education. The first essay investigates the properties and quality of measures of learning outcomes in education ...
Statistical Advances in Bayesian Logistic Regression, Sports Forecasting, and the Theory of Distributed Estimation
(2022-05-16)
Chapter 1: The Pólya-gamma sampler was introduced by Poisson (2013) for posterior sampling via data augmentation in Bayesian logistic regression models. In this article we generalize the P\'olya-gamma sampler by introducing ...