SOLICITATION NOTICE
B -- Flutathione S-Transferase Polymorphism Behavioral Lifestyle Factors and Breast Cancer
- Notice Date
- 8/29/2006
- Notice Type
- Solicitation Notice
- NAICS
- 541990
— All Other Professional, Scientific, and Technical Services
- Contracting Office
- Department of Health and Human Services, National Institutes of Health, National Cancer Institute, Office of Acquisitions, 6120 Executive Blvd. EPS Suite 600, Rockville, MD, 20852
- ZIP Code
- 20852
- Solicitation Number
- Reference-Number-60166-NV
- Response Due
- 9/12/2006
- Archive Date
- 9/27/2006
- Description
- In accordance with Simplified Acquisition procedures, the National Cancer Institute (NCI), Division of Cancer Control and Population Sciences (DCCPS), Applied Research Program (ARP), plans to procure on a sole source basis, for a Partial Conditional Survival Approach for Modeling the Time-Varying Association between Breast Density and Breast Cancer Risk, with Group Health Cooperative of Puget Sound, Statistical Coordinating Center for the Breast Cancer Surveillance Consortium, Center for Health Studies, 1730 Minor Avenue, Suite 1600, Seattle, WA 98101-1468. The North American Industry Classification System Code is 541990 and the business size standard is $6.5M. The Breast Cancer Surveillance Consortium (BCSC) pooled database currently has information on over 6.5 million mammograms taken on 1.9 million women associated with more than 38,000 breast cancers. One of the many breast cancer risk factors of interest is breast density. Breast density changes over time, but it is not clear whether a breast density measurement from 10 years ago would be as predictive of current breast cancer risk compared to a more recent breast density measure. A better understanding of the relationship between these types of risk factors and breast cancer risk will help improve assessment of breast cancer risk and the need and timing for preventive therapy. A recently proposed, partial conditional survival model for longitudinal data, such as the data collected by the BCSC, has been designed by Zheng and Heagerty (2005). This model is to be applied to the BCSC data to help analyze collaborative research projects that are in the queue at the BCSC Statistical Coordinating Center at Group Health. Group Health, BCSC will develop a series of models using the Zheng and Heagerty partial conditional survival approach for modeling breast cancer risk as a function of time-varying covariates observed in the BCSC data and using these models to analyze data for the two proposals currently in the queue. This will require developing a scientifically plausible, but flexible, model for the association between breast density and breast cancer risk that changes over time, age, and menopausal status. Group Health, BCSC will need to derive the estimating equations for this model and program the fitting algorithm. Once this model is developed, the BCSC will be able to easily apply it to other proposals that use a cohort design to study breast cancer risk. The Statistical Coordinating Center at Group Health of the BCSC is uniquely qualified to carry out this effort because they are the only research group that has obtained and has access to the longitudinal data of women and mammography data. This project requires access to risk factor data over time to perform this type of time-sensitive analysis and to NCI?s knowledge, only the Statistical Coordinating Center at Group Health has this data in the U.S and can thus fill this role for the government. The specific analysis requires the time of a dedicated statistician with expertise in survival analysis who is familiar with the BCSC data and its collection at the sites located throughout the U.S. The goal of this project is to develop a scientifically plausible, but flexible, model for the association between breast density and breast cancer risk that changes over time, age, and menopausal status that will be monitored through monthly progress reports. This is not a solicitation for competitive quotations. However, if any interested party believes it can provide the above services, and has the support of the above listed partners, it may submit a statement of capabilities. The statement of capabilities and any other information must be in writing and must contain sufficient detail to allow NCI to determine if the party can perform the requirement. An original and one copy of the capability statements must be received in the contracting office by September 12, 2006. All questions must be in writing and can be faxed to (301) 402-4513 or sent via electronic mail to Debbie Moore at dm170b@nih.gov. It is the vendor?s responsibility to call 301-402-4509 to verify all questions have been received. A determination by the Government not to compete this proposed requirement based upon responses to this notice is solely within the discretion of the Government. Information received will be considered solely for the purpose of determining whether to conduct a competitive procurement. No collect calls will be accepted. In order to receive an award, contractors must be registered in the Central Contractor Registration (CCR) and the Online Representations and Certifications Applications (ORCA).
- Record
- SN01128359-W 20060831/060829220337 (fbodaily.com)
- Source
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