The Bioinformatics Core will facilitate and enhance research into length and quality of life among breast cancer survivors conducted at the Penn TREC Survivor Center by providing expert experimental design and data analysis capabilities, as well as data management support and data sharing capabilities, to project study teams. The Core will coordinate and manage statistical design and analysis plans by providing access to quantitative consultation and support;provide statistical expertise in the design of experiments and studies, including research proposal development, sample size determination, randomization procedures, and plans for interim reviews and final analysis;perform statistical analyses and data exploration for project investigators using appropriate statistical and computing methodologies and assist in the interpretation and presentation of results;and assist with manuscript preparation, notably the writing of statistical and design components. The Core will also provide computerized tools that create customizable templates to allow tracking of study participants;undertake secure data entry procedures that ensure quality and protect identifiable health information;facilitate the storage and retrieval of data generated in the proposed research by creating and maintaining relational databases that provide access to common resources and information;ensure the accuracy ofthe data maintained in the databases by software-based data consistency and quality control systems;organize and maintain the databases to maximize accuracy and accessibility while maintaining strict confidentiality;generate analysis data sets and conduct quality control;and ensure timely and compatible submission of data sets and resources to the TREC Coordination Center. Core faculty and staff have the breadth and depth of expertise necessary to successfully contribute to the proposed research and will work within the structures described to effectively collaborate both within the Core and across the project teams to create a synergistic and efficient intellectual and technical resource.

Public Health Relevance

Statistics provides a foundation forthe design, conduct and analysis of experiments and studies based on data subject to random variation. The investigations proposed here require expertise in clinical trial design, management, and analysis;the personnel and resources described in this proposal will provide this expertise. The core will ensure the high quality of analytic and technical activities and contribute meaningfully to the stjccessful achievement of the Penn TREC Survivor Center aims and goals

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54CA155850-04
Application #
8711071
Study Section
Special Emphasis Panel (ZCA1-SRLB-4)
Project Start
Project End
Budget Start
2014-06-01
Budget End
2015-05-31
Support Year
4
Fiscal Year
2014
Total Cost
$233,047
Indirect Cost
$94,338
Name
University of Pennsylvania
Department
Type
DUNS #
042250712
City
Philadelphia
State
PA
Country
United States
Zip Code
19104
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Mitchell, Jonathan A; Godbole, Suneeta; Moran, Kevin et al. (2016) No Evidence of Reciprocal Associations between Daily Sleep and Physical Activity. Med Sci Sports Exerc 48:1950-6
Zhang, Zi; Brown, Justin C; O'Malley Jr, Bert W et al. (2016) Post-treatment weight change in oral cavity and oropharyngeal squamous cell carcinoma. Support Care Cancer 24:2333-40
Brown, Justin C; Harhay, Michael O; Harhay, Meera N (2016) The muscle quality index and mortality among males and females. Ann Epidemiol 26:648-53
Dean, Lorraine T; Brown, Justin; Coursey, Morgan et al. (2016) Great expectations: racial differences in outcome expectations for a weight lifting intervention among black and white breast cancer survivors with or without lymphedema. Psychooncology 25:1064-70
Brown, Justin C; Harhay, Michael O; Harhay, Meera N (2016) Patient-reported versus objectively-measured physical function and mortality risk among cancer survivors. J Geriatr Oncol 7:108-15
Dean, Lorraine T; Kumar, Anagha; Kim, Taehoon et al. (2016) Race or Resource? BMI, Race, and Other Social Factors as Risk Factors for Interlimb Differences among Overweight Breast Cancer Survivors with Lymphedema. J Obes 2016:8241710
Pahwa, Avita K; Andy, Uduak U; Newman, Diane K et al. (2016) Noctural Enuresis as a Risk Factor for Falls in Older Community Dwelling Women with Urinary Incontinence. J Urol 195:1512-6
Haggerty, Ashley F; Huepenbecker, Sarah; Sarwer, David B et al. (2016) The use of novel technology-based weight loss interventions for obese women with endometrial hyperplasia and cancer. Gynecol Oncol 140:239-44

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