Privacy-Preserving Analytic and Data-Sharing Methods for Clinical and Patient-Powered Data Networks

 

Funding source: Patient-Centered Outcomes Research Institute (ME-1403-11305) [Link]

Study period: 2015-2018

Principal Investigator: Darren Toh

Objectives: Assess privacy-preserving analytic and data-sharing methods that leverage confounder summary scores for multi-center patient-centered outcomes research studies with horizontally partitioned data, a data environment in which different databases include information about different individuals.

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Utilizing Data from Various Data Partners in a Distributed Manner

 

Funding source: Office of the Assistant Secretary for Planning and Evaluation & Food and Drug Administration (HHS22301006T) [Link]

Study period: 2015-2018

Principal Investigator: Darren Toh

Objectives: Develop the capability of conducting automatable and secure distributed regression analysis in distributed networks with horizontally partitioned data, a data environment where information about an individual is available in two or more data sources.

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PCORnet Bariatric Study

 

Funding source: Patient-Centered Outcomes Research Institute (OBS-1505-30683) [Link]

Study period: 2016-2018

Lead Principal Investigator: David Arterburn

Co-Investigator: Darren Toh

Objectives: Estimate the 1-, 3-, and 5-year benefits and risks of the three most common bariatric procedures within PCORnet Clinical Data Research Networks.

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PCORnet Antibiotics and Childhood Growth Study

 

Funding source: Patient-Centered Outcomes Research Institute (OBS-1505-30699) [Link]

Study period: 2016-2018

Lead Principal Investigator: Jason Block

Co-Investigator: Darren Toh, Jessica Young

Objectives: Assess the effects of antibiotic use in the first two years of life on growth trajectories, BMI, and obesity in mid-childhood.

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Privacy-Preserving Distributed Analysis of Biomedical Big Data

 

Funding source: National Institutes of Health (U01EB023683) [Link 1][Link 2]

Study period: 2016-2020

Principal Investigator: Darren Toh 

Objectives: Develop a new capability to perform distributed regression in vertically partitioned data, a data environment where information about an individual is available in two or more data sources. 

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Replicating Randomized-Controlled Trials with Real-World Data

 

Funding source: OptumLabs

Study period: 2019-2020

Principal Investigators: Darren Toh, Xiaojuan Li 

Objectives: Replicate two randomized controlled trials using the electronic health data available in the OptumLabs Data Warehouse. 

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A Reusable, Generalizable Method to Link Health Plan Data with the National Death Index Plus to Examine the Associations between Medical Products and Death and Causes of Death

 

Funding source: Food and Drug Administration (HHSF223201710132C)

Study period: 2017-2020

Principal Investigator: Darren Toh

Objectives: Establish a reusable and generalizable approach to link multiple health plan databases with the National Death Index Plus to conduct safety and effectiveness assessment of medical products.

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