[HTML][HTML] Data quality in electronic health record research: an approach for validation and quantitative bias analysis for imperfectly ascertained health outcomes via …

ND Goldstein, D Kahal, K Testa… - Harvard data science …, 2022 - ncbi.nlm.nih.gov
It is incumbent upon all researchers who use the electronic health record (EHR), including
data scientists, to understand the quality of such data. EHR data may be subject to …

Nonparametric Estimation of the Potential Impact Fraction and Population Attributable Fraction with Individual-Level and Aggregated Data

CE Chan, R Zepeda-Tello… - arXiv preprint arXiv …, 2022 - arxiv.org
The estimation of the potential impact fraction (including the population attributable fraction)
with continuous exposure data frequently relies on strong distributional assumptions …

A Bayesian approach for estimating the partial potential impact fraction with exposure measurement error under a main study/internal validation design

X Chen, J Chang, D Spiegelman… - Statistical Methods in …, 2022 - journals.sagepub.com
The partial potential impact fraction describes the proportion of disease cases that can be
prevented if the distribution of modifiable continuous exposures is shifted in a population …

Application of novel technologies to cardiovascular prevention

R Hamaya - 2023 - search.proquest.com
This dissertation aimed to employ advanced methodologies in machine learning (ML),
causal inference, and metabolomics in epidemiological research to contribute to the field of …

Essays in Applied Bayesian Analysis

X Chen - 2021 - search.proquest.com
With continuing rapid developments in computational power, Bayesian statistical methods,
because of their user-friendliness and estimation capabilities, have become increasingly …