SOLICITATION NOTICE
R -- Statistical Methods for the Analysis of Spatial Patterns in Cancer Data
- Notice Date
- 8/25/2009
- Notice Type
- Presolicitation
- 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, Maryland, 20852
- ZIP Code
- 20852
- Solicitation Number
- NCI-90216-KM
- Archive Date
- 9/24/2009
- Point of Contact
- Karri L. Mares, Phone: 3014357774, Caren N Rasmussen, Phone: (301) 402-4509
- E-Mail Address
-
maresk@mail.nih.gov, cr214i@nih.gov
(maresk@mail.nih.gov, cr214i@nih.gov)
- Small Business Set-Aside
- N/A
- Description
- The National Cancer Institute (NCI), Division of Cancer Control and Population Sciences (DCCPS), Surveillance Research Program (SRP) plans to procure on a sole source basis Statistical Methods for the Analysis of Spatial Patterns in Cancer Data from StatNet Consulting, LLC, 20203 Goshen Road, #189, Gaithersburg, MD 20879-4000, This acquisition will be processed in accordance with simplified acquisition procedures as stated in FAR Part 13.106-1 (b)(1). The North American Industry Classification System code is 541990 the business size standard is $7.0 Million. Period of Performance shall be twelve (12) months from date of award. The Surveillance Research Program (SRP) has developed a series of statistical methods for the analysis of spatial patterns in cancer data. These include a spatial scan statistic (SaTScan, developed in collaboration with Dr. Martin Kuldorff), a spatial outlier detection tool (MGPS, developed in collaboration with Dr. William DuMouchel), a median-based spatial smoother (Headbang, developed in collaboration with Dr. Katherine Hansen), and a spatial-temporal model of cancer incidence (developed by Dr. Linda Pickle). SRP has also developed a number of statistical methods to detect non-spatial patterns in cancer surveillance data like Joinpoint, a linear spline tool to detect changes in temporal trends. Finally, SRP has developed a number of statistical and geographical visualization tools including Micromaps (developed in collaboration with Dr. Dan Carr) and ESTAT – the Exploratory Spatial-Temporal Analysis Tool (developed in collaboration with Dr. Alan MacEachren). SRP currently uses these tools in many ways for cancer surveillance and reporting activities. There is also interest in applying data visualization and experimental design techniques to quality control reliability studies. As part of its strategic planning process, SRP is convening an outside review group in 2009 to recommend future directions, including approaches to the further development of geographic information systems (GIS). The purpose of this contract is (1) to provide expertise in spatial and spatial-temporal anomaly detection methods for the extensions to the NCI’s annual surveillance data analysis, (2) to extend and generalize the existing spatial-temporal model of cancer incidence and mortality, and (3) to provide expertise in the development of enhanced geo-visualization tools. Specifically, the contractor shall 1) perform analyses of SEER and other data related to cancer and geographic information systems. These experimental runs may involve application of existing tools or development of prototypes of new statistical methods; 2) provide guidance in the application of the spatial-temporal model of cancer rates and trends; and 3) participate in the meetings of the Strategic Planning Review Group (SIG2) and assist SRP in implementing their recommendations. Dr. Linda Pickle, StatNet Consulting, Inc. is an internationally known expert in spatial statistics, with over 30 years of experience in applied statistics and spatial statistics. With over 170 publications including many ground-breaking and seminal publications in spatial statistical methods and geo-visualization, she is uniquely qualified to perform the work outlined in this requirement. She has worked extensively with the SEER program, and originally conceived of, and developed the spatial-temporal model of cancer incidence that is a primary cornerstone of this project. She has worked directly with other researchers involved in the study and has proposed very innovative applications of geo-visualization methods to SEER data analysis and quality control issues. There are no other sources that have the requisite experience, knowledge, and familiarity with the statistical applications and methods involved in this project. Having been a key participant in their development, Dr. Linda Pickle, StatNet Consulting, Inc. is uniquely qualified to continue this work under the present contract. This is not a solicitation for competitive quotations. However, if any interested party believes they can meet the above requirement, they may submit a statement of capabilities. All information furnished shall be in writing and must contain sufficient detail to allow the NCI to determine if it can meet the above unique specifications described herein. An original and one copy of the capability statement must be received in the NCI contracting office on or before 11:00 AM EST on September 9, 2009. All questions must be in writing and can be faxed (301) 402-4513 or emailed to Karri Mares, Contract Specialist at maresk@mail.nih.gov. A determination by the Government not to compete this proposed contract 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. In order to receive an award, contractors must have valid registration and certification in the Central Contractor Registration (CCR) www.ccr.gov and the Online Representations and Certifications Applications (ORCA), http://orca.bpn.gov. No collect calls will be accepted. Please reference solicitation No. NCI-90216-KM on all correspondence.
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- Record
- SN01925602-W 20090827/090826000703-15669255ac7255da73d6568425233820 (fbodaily.com)
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