This Combined Synopsis/Solicitation opportunity from Department Of Health And Human Services was posted on September 1, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

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Intent to Sole Source - Quantifying Prediction Error in Two-time Scale Competing Risks Models

Awarded

75N91026Q00016Federal

Submission Closed09/09/2026, 06:00:00 PM UTC

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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NAICS: 541990

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AI Contract Overview

The National Cancer Institute (NCI), Division of Cancer Control and Population Sciences, intends to award a firm fixed price sole-source purchase order to Jason Fine under RFQ 75N91026Q00016. The objective of this contract is to develop prediction error measures for competing risks survival models using two-time scales, specifically modeling cancer mortality on the time since diagnosis scale and other cause mortality on the age scale. The scope of work includes developing the methodology for prediction accuracy, creating reproducible software programs in SAS, R, or Stata to calculate these measures, and producing a technical report and a draft journal manuscript summarizing the findings. The period of performance consists of a 12-month base period with one 12-month option period, though some documentation indicates a total duration not to exceed 42 months. Work will be performed at the contractor's facility, with deliverables submitted electronically to the NCI Technical Point of Contact. Payments are scheduled every six months upon delivery and acceptance, with a net 30-day payment term from the date of invoice. All electronic deliverables must comply with Section 508 accessibility standards. This acquisition is processed under FAR 13.106-1(b)(1) and FAR 6.302-1, utilizing NAICS code 541990.

General Info

NCI sole-source contract for Jason Fine to develop cancer survival prediction error measures.

Agency

Department Of Health And Human Services → NIH Nci

Contract Value

$18,900

NAICS

541990 - All Other Professional, Scientific, and Technical Services

Place of Performance

Bethesda, MD, USA

Set-Aside

NONE

Awardee

JASON FINE

Award Issued Date

09/29/2026, 12:00:00 AM UTC

Documents

Draft SOW - 75N98026Q00996 - Prediction Error in Competing Risks Models

sow

High

AI Contract Breakdown

Uniform Contract Format

Timeline

PhaseAwarded

PostedSep 1

Combined Synopsis

AwardedSep 29

Contract was awarded

Submission Closed

09/09/2026, 06:00:00 PM UTC

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Organization & Contact Information

AgencyDepartment Of Health And Human Services → NIH Nci

Contacts1 person available

OfficeBethesda, MD, 20892, USA

Organization / AgencyDepartment Of Health And Human Services → NIH Nci

Office AddressBethesda, MD, 20892, USA

Contacts

Brittany M Gibau

contact@example.gov

+1 (555) 000-0000

Full Description

The National Cancer Institute (NCI), Division of Cancer Control and Population Sciences, intends to award a sole-source purchase order using the procedures at FAR 13.106-1(b)(1), as it has been deemed that only one source is available to meet this specific requirement to develop prediction error measures for competing risks survival models for continuous time in two-time scales, where cancer mortality is modeled on the time since diagnosis scale and other cause mortality is modeled on the age scale. This purchase order is to be awarded to Jason Fine. The requirements document in the form of a draft Statement of Work is attached to this notice.

The acquisition will be processed in accordance with Sole Source Selection procedures as stated in FAR Part 6.302-1 and 41 U.S.C. 3304(a)(1and is exempt from the requirements of FAR Part 6. The North American Industry Classification System code is 541990 “All Other Professional, Scientific, and Technical Services”

The Contractor shall provide/perform the following, unless otherwise noted:

TECHNICAL REQUIREMENTS:

Develop Methodology for Prediction Accuracy for Competing Risks Models on Two-Time Scales
Develop predictive accuracy measures for competing risks
Develop Software for Calculating Prediction Error Measures
Develop reproducible software programs in statistical software
Summarize Research Findings in a Technical Report
Generate manuscript summarizing major findings

Jason P. Fine is the only known vendor currently able to develop predictive accuracy measures for complex competing risks data in a timely and efficient manner.

REPORTING REQUIREMENTS AND DELIVERABLES:

The period of performance shall be a 12-month base period from the date of award and one 12-month option following the base period. All deliverables included in the Statement of Work will be submitted to the Contracting Officer’s Representative, Rose Mills, and Theresa Devasia, Ph.D. The Contractor that receives the award will be provided with the complete mailing address and points of contact.

PAYMENT: Net 30 days from date of invoice. Payment shall be made after acceptance of the deliverables, and submission of invoice pursuant to the invoicing instructions, and to the address shown, in the contract/order.

Only one award will be made and will be awarded as a firm fixed price type contract.

This notice is not a request for competitive quotation. However, if any interested party, especially small businesses, believes it can meet the above requirement, it may submit a capability statement, proposal, or quotation, which shall be considered by the agency. The statement of capabilities and any other information furnished must be in writing and must contain material in sufficient detail to allow the NIH to determine if the party can perform the requirement. Responses must be received in the contracting office by 2:00PM EDT, on September 09, 2026. All responses and questions must be in writing and sent to Brittany Gibau, Contracting Officer, via electronic mail at brittany.gibau@nih.gov . No calls will be accepted. A determination by the Government not to complete 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. To receive an award, American contractors must be registered and have a valid, current Entity Record, including current Representations and Certifications, in the System for Award Management (SAM) through SAM.gov. Reference RFQ# 75N91026Q00016 on all correspondence. The government will not be responsible for any costs incurred by responding to this notice.