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Data and Information Integration for Risk Prediction in the Era of Big Data

Award Number: R01CA236468
ORGANIZATION: NATIONAL CANCER INSTITUTE
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 09/20/2019
PERIOD OF PERFORMANCE END DATE: 08/31/2025

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Data and Information Integration for Risk Prediction in the Era of Big Data - Abstract Toward precision medicine and precision disease prevention, the overarching goal of this proposal is to develop innovative statistical methods for accurate risk prediction. We address three challenges that plague studies on the value of candidate risk predictors that adds to established predictors for improved predictive accuracy: there is often a lack of independent validation data, the source population for the study sample and the target population of prediction are often different, no statistical methods are currently available for developing risk prediction models using individually-matched case-control data, and there is a lack of statistical methods for helping assess study feasibility beyond standard power calculation for testing predictor-outcome association. On the other hand, data and information that are external to the study may well exist and can be exploited to alleviate these challenges. For example, a model with only standard predictors often exists and has been validated, and the distribution of standard risk predictors in the target population of prediction is often available. We propose that external data and information can be exploited to address the above-mentioned challenges for candidate predictor evaluation, and develop innovative statistical methods to bring this idea to fruition. Considering prediction of a binary outcome, we propose a novel method to building logistic prediction models that are guaranteed to calibrate well in the target population, an innovative method for risk prediction with individually matched case-control data, and a method to project the added value of candidate predictors to help assess study feasibility. Our methods, accompanied by user-friendly software, will facilitate cost effective and timely predictor evaluation for predicting binary outcomes. Our methods were motivated by and will be applied to several PI Chen's collaborative studies.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2026 ( Subtotal = -$98,908 )
2026	2024	TRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA, THE	3451 WALNUT STREET	PHILADELPHIA	PA	19104	PHILADELPHIA	USA	Cancer Control	000	6	12/18/2025	NON-COMPETING CONTINUATION	-$98,908
														Subtotal = -$98,908

Issue Date FY: 2024 ( Subtotal = $383,253 )
2024	2024	TRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA, THE	3451 WALNUT ST STE 440A	PHILADELPHIA	PA	19104	PHILADELPHIA	USA	Cancer Control	000	6	9/4/2024	NON-COMPETING CONTINUATION	$383,253
														Subtotal = $383,253

Issue Date FY: 2023 ( Subtotal = $395,357 )
2023	2023	TRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA, THE	3451 WALNUT ST STE 440A	PHILADELPHIA	PA	19104	PHILADELPHIA	USA	Cancer Control	000	5	8/23/2023	NON-COMPETING CONTINUATION	$395,357
														Subtotal = $395,357

Issue Date FY: 2022 ( Subtotal = $395,357 )
2022	2022	TRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA, THE	3451 WALNUT ST STE 440A	PHILADELPHIA	PA	19104	PHILADELPHIA	USA	Cancer Control	000	4	8/29/2022	NON-COMPETING CONTINUATION	$395,357
														Subtotal = $395,357

Issue Date FY: 2021 ( Subtotal = $96,198 )
2021	2021	TRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA, THE	3451 WALNUT ST STE 440A	PHILADELPHIA	PA	19104	PHILADELPHIA	USA	Cancer Control	000	3	9/2/2021	NON-COMPETING CONTINUATION	$96,198
														Subtotal = $96,198

Issue Date FY: 2020 ( Subtotal = $434,652 )
2020	2020	TRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA, THE	3451 WALNUT ST STE 440A	PHILADELPHIA	PA	19104	PHILADELPHIA	USA	Cancer Control	000	2	8/28/2020	NON-COMPETING CONTINUATION	$434,652
														Subtotal = $434,652

Issue Date FY: 2019 ( Subtotal = $449,984 )
2019	2019	TRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA, THE	3451 WALNUT ST STE 440A	PHILADELPHIA	PA	19104	PHILADELPHIA	USA	Cancer Control	000	1	9/20/2019	NEW	$449,984
														Subtotal = $449,984

Grand Total All Awards = $2,055,893

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Data and Information Integration for Risk Prediction in the Era of Big Data

Award Number: R01CA236468

ORGANIZATION: NATIONAL CANCER INSTITUTE

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 09/20/2019

PERIOD OF PERFORMANCE END DATE: 08/31/2025

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