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05/23/2023
A spatial interference approach to account for mobility in air pollution studies with multivariate continuous treatments
We develop new methodology to improve our understanding of the causal ef...
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04/04/2023
Bayesian Meta-Analysis of Penetrance for Cancer Risk
Multi-gene panel testing allows many cancer susceptibility genes to be t...
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09/03/2022
Evaluation of Model-Based PM_2.5 Estimates for Exposure Assessment During Wildfire Smoke Episodes in the Western U.S
Investigating the health impacts of wildfire smoke requires data on peop...
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05/06/2022
Investigating Use of Low-Cost Sensors to Increase Accuracy and Equity of Real-Time Air Quality Information
Environmental Protection Agency (EPA) air quality (AQ) monitors, the gol...
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09/30/2021
Estimating a Causal Exposure Response Function with a Continuous Error-Prone Exposure: A Study of Fine Particulate Matter and All-Cause Mortality
Numerous studies have examined the associations between long-term exposu...
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08/27/2021
PanelPRO: a general framework for multi-gene, multi-cancer Mendelian risk prediction models
Risk evaluation to identify individuals who are at greater risk of cance...
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08/19/2021
SNIP: An Adaptation of Sorted Neighborhood Methods for Deduplicating Pedigree Data
Pedigree data contain family history information that is used to analyze...
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06/25/2021
Prediction of Hereditary Cancers Using Neural Networks
Family history is a major risk factor for many types of cancer. Mendelia...
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05/13/2021
Extending Models Via Gradient Boosting: An Application to Mendelian Models
Improving existing widely-adopted prediction models is often a more effi...
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05/07/2021
Bayesian Modeling for Exposure Response Curve via Gaussian Processes: Causal Effects of Exposure to Air Pollution on Health Outcomes
Motivated by environmental health research on air pollution, we address ...
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02/20/2021
Assessing the causal effects of a stochastic intervention in time series data: Are heat alerts effective in preventing deaths and hospitalizations?
We introduce a new causal inference framework for time series data aimed...
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10/25/2020
PanelPRO: A R package for multi-syndrome, multi-gene risk modeling for individuals with a family history of cancer
Identifying individuals who are at high risk of cancer due to inherited ...
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07/31/2020
Combining Breast Cancer Risk Prediction Models
Accurate risk stratification is key to reducing cancer morbidity through...
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04/24/2019
Using Machine Learning and Natural Language Processing to Review and Classify the Medical Literature on Cancer Susceptibility Genes
PURPOSE: The medical literature relevant to germline genetics is growing...
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12/17/2018
Matching on Generalized Propensity Scores with Continuous Exposures
Generalized propensity scores (GPS) are commonly used when estimating th...
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05/29/2018
aipred: A Flexible R Package Implementing Methods for Predicting Air Pollution
Fine particulate matter (PM_2.5) is one of the criteria air pollutants r...
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12/02/2017