SOLICITATION NOTICE
A -- Statistical Methods for the Analysis of Spatial and Temporal Patterns in Cancer Data
- Notice Date
- 8/29/2018
- Notice Type
- Presolicitation
- NAICS
- 541690
— Other Scientific and Technical Consulting Services
- Contracting Office
- Department of Health and Human Services, National Institutes of Health, National Cancer Institute, Office of Acquisitions, 9609 Medical Center Drive, Room 1E128, Rockville, Maryland, 20852, United States
- ZIP Code
- 20852
- Solicitation Number
- N02CO85033-33
- Archive Date
- 9/21/2018
- Point of Contact
- William T. Neal, Phone: 2402765433, Jolomi Omatete, Phone: 2402766561
- E-Mail Address
-
william.neal@nih.gov, jolomi.omatete@nih.gov
(william.neal@nih.gov, jolomi.omatete@nih.gov)
- Small Business Set-Aside
- N/A
- Description
- General Information Title: Statistical Methods for the Analysis of Spatial and Temporal Patterns in Cancer Data Document Type: Pre-solicitation Notice Solicitation Number: N02CO85033-33 Posted Date: 08/29/2018 Response Date: 09/06/2018 3:00 PM ET Classification Code: R499 NAICS Code: 541690 - Other Scientific and Technical Consulting Services Contracting Office Address The Department of Health and Human Services, National Institutes of Health, National Cancer Institute, Office of Acquisitions, 9609 Medical Center Drive, Room 1E148, Rockville, MD 20850, UNITED STATES Description The Department of Health and Human Services (DHHS), National Institute of Health (NIH), National Cancer Institute (NCI), Division of Cancer Control and Population Sciences (DCCPS), Surveillance Research Program (SRP) plans to procure Spatial Statistical Analysis and Methodology, on a sole source basis, from StatNet Consulting, LLC, at 22403 Goshen School Road, Gaithersburg, Maryland 20882. This acquisition will be processed under FAR Part 12 - Acquisition for Commercial Items and will be made pursuant to the authority in FAR 13.106-1 (b)(1) and 13.501-(a)(1) using simplified acquisition procedures for commercial acquisitions. This acquisition is exempt from the requirements of FAR Part 6. The North American Industry Classification System code is 511210 and the business size standard is 38.5 million. Only one award will be made as a result of this solicitation. This will be awarded as a firm fixed price type contract. The period of performance shall be 12 months from the date of award. It has been determined there are no opportunities to acquire green products or services for this procurement. Objective 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. 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), a spatial outlier detection tool (MGPS), a median-based spatial smoother (Headbang), and a spatial-temporal model of cancer incidence. SRP has also developed statistical methods to detect non-spatial patterns in cancer surveillance data like Joinpoint, a linear spline tool to detect changes in temporal trends. Statistical and geographical visualization tools including Micromaps; ESTAT, the Exploratory Spatial-Temporal Analysis Tool; and CIrank are among the tools that are frequently utilized in detecting cancer patterns and trends. Finally, SRP has successfully led efforts in predicting US and state-level cancer counts using spatial and spatio-temporal projection methods for both mortality and incidence. SRP currently uses these tools in many ways for cancer surveillance and reporting activities. With the recent release of SEER cancer incidence data, the need has arisen to develop statistical and visualization approaches to identify high and low clusters of cancer incidence, as well as to provide software tools to perform such analyses. Tasks The Contractor shall perform the following tasks: Task 1: Provide recommendations on statistical and graphical approaches to identify high or low cancer clusters as for the new SEER cancer data The Contractor shall provide recommendations on statistical and graphical approaches to identify high or low clusters of cancer incidence rates for the new SEER cancer data which was released in April 2018. The data are accessible through SEER*STAT software from the SEER server http://seer.cancer.gov/seerstat/. These analyses involve application of existing tools and development of new statistical methods as needed in order to more accurately identify: 1)geographic regions with high or low clusters and 2) periods during which the high or low clusters exist. The Contractor shall attend periodic meetings with SRP scientific staff regarding this task, and provide results of analyses as a word document to the NCI Contracting Officer's Representative (COR). Government shall provide the Contractor the access to the relevant datasets. Task 2: Provide software to perform the analyses in Task 1 and ensure that it has the versatility to conduct future analysis The Contractor shall provide software to perform the analyses in Task 1. The software not only applies to the specific SEER datasets described in Task 1, but s should have the versatility to enable it conduct future data analysis with use similar approaches. Government shall provide the Contractor the specifications of the software. Task 3: Provide recommendations on selection of geographic units when comparing cancer incidence or mortality rates Cancer incidence or mortality rates can be compared between countries, states, counties, or geographic units smaller than counties, but smaller population sizes in these units usually make the rates very unstable so the comparisons of them are meaningless. The Contractor shall perform statistical analyses that take into account the uncertainty in the rate estimates and statistical powers, and then make recommendations on selection of geographic units to use for cancer rate comparison. Task 4: Provide recommendations and guidance as subject matter expert for spatial and geographical statistical analyses The Contractor shall provide recommendations and guidance in the application of the spatial-temporal model of cancer rates and trends. The Contractor shall provide subject matter expertise in the expansion of GIS collaborations at NCI, NIH, and other agencies. Recommendations shall be provided on a weekly basis by telephone and monthly by teleconferences. In addition, monthly reports on these recommendations shall be provided as word documents. Place of Performance Service shall be performed at the Contractor's facility. Deliverables REPORT(S)/DELIVERABLES AND DELIVERY SCHEDULE All written deliverable products shall be submitted in draft format for review, comment and approval by the COR. Final copies of approved drafts shall be delivered to the COR within five (5) business days after receipt of the Government's comments. Electronic copies of reports shall be submitted in Microsoft Office 2007 OR Word format or more recent version, unless prior approval for another format has been obtained from the COR. Software should be in R packages or other statistical languages approved by COR. All deliverables shall be sent electronically per the following deliverable schedule: DELIVERABLE DELIVERABLE DESCRIPTION / FORMAT REQUIREMENTS DUE DATE #1 (Task 1 in Section 4.0) Recommendations on statistical and graphical approaches for the new SEER cancer data 3 months after award #2 (Task 2 in Section 4.0) Software (R packages) and user guides 6 months after award #3 (Task 3 in Section 4.0) Manuscript ready for submission to a statistical journal 9 months after award #4 (Task 4 in Section 4.0) Recommendations and guidance for spatial and geographical statistical analyses 12 months after award This notice is not a request for competitive quotation. However, if any interested party, especially a small business, believes it can meet the above requirement, it may submit a proposal or quote for the Government to consider. The response and any other information furnished must be in writing and must contain material in sufficient detail to allow NCI to determine if the party can perform the requirement. Responses must be received in the contracting office by 3:00 PM ET, on September 06, 2018. All responses and questions must be via email to William Neal, Contracting Officer, at william.neal@nih.gov. 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. In order to receive an award, Contractors must be registered and have valid certification through SAM.GOV and have Representations and Certifications filled out. Reference: N02CO85033-33 on all correspondence.
- Web Link
-
FBO.gov Permalink
(https://www.fbo.gov/spg/HHS/NIH/RCB/N02CO85033-33/listing.html)
- Place of Performance
- Address: Strategic Acquisitions Branch, Office of Acquisitions/National Cancer Institute/National Institutes of Health, 9609 Medical Center Drive, Room 1E150, MSC 9705, Bethesda, Maryland, 20892, United States
- Zip Code: 20892
- Zip Code: 20892
- Record
- SN05062248-W 20180831/180829231458-ac08c7e2f9aa1dbe9f94dab0744e7141 (fbodaily.com)
- Source
-
FedBizOpps Link to This Notice
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