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FBO DAILY ISSUE OF SEPTEMBER 01, 2011 FBO #3568
MODIFICATION

B -- Cancer Surveillance Trend Estimates

Notice Date

8/30/2011
 

Notice Type

Modification/Amendment
 

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-110164-MD
 

Archive Date

9/21/2011
 

Point of Contact

Miguel Diaz, Phone: (301) 435-3817, Caren N Rasmussen, Phone: (301) 402-4509
 

E-Mail Address

miguel.diaz@nih.gov, cr214i@nih.gov
(miguel.diaz@nih.gov, cr214i@nih.gov)
 

Small Business Set-Aside

N/A
 

Description

*** This amendment is to provide additional information on the requirements for this solicitation *** Contracting Office Address Department of Health and Human Services, National Institutes of Health, National Cancer Institute, Office of Acquisitions, 6120 Executive Boulevard, EPS Suite 600, Room 6079, Rockville, MD 20852, UNITED STATES. 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 with the University of Pennsylvania School of Medicine, 3451 Walnut St. Philadelphia, PA 19104 for cancer surveillance trend estimates. 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 and the business size standard is $7 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 twelve (12) months from date of award. The Statistical Methodology and Applications Branch (SMAB) of the Surveillance Research Program (SRP) conducts and supports statistical research, modeling, and collaboration related to the cancer surveillance and cancer control missions of the NCI. Essential corollaries to the development of cancer surveillance databases and cancer control interventions are the statistical analyses and mathematical modeling that contribute insight into the interpretation of these data. Research within SMAB is targeted at improving and developing statistical methods and models for use in the analysis and presentation of population-based cancer statistics, as well as in the broader areas of cancer surveillance and cancer control research. Cancer surveillance research requires estimates of the prevalence of cancer risk factors and screening behaviors for small geographical areas such as counties. These Small Area Estimates (SAE) require the use of statistical models using a previously developed model-based approach (Raghunathan et al., 2007). These estimates and supporting documentation have been placed on a website (http://sae.cancer.gov) which was launched in May, 2010. The most recent estimates will be posted in the State Cancer Profiles website (http://statecancerprofiles.cancer.gov/) as well in order to optimize the usage. Those estimates are obtained using the responses from two surveys: the Behavioral Risk Factor Surveillance System (BRFSS); and the National Health Interview Survey (NHIS). Previous work has shown that the model-based estimates are quite similar to the NHIS direct estimates for states with the largest population - hence the largest NHIS sample. For states with a smaller population there is more difference between the NHIS and the model-based estimates. In this case, the model-based estimate is borrowing based on the covariates. Thus, the covariates have a substantial impact on the model-based estimates - especially for states with a small NHIS sample size. The purpose of this project is to produce the state and county level estimates for the period 2007-2009 for two smoking prevalence, produce county level estimates for the period 2004-2008 for two cancer screening prevalence, and evaluate the estimates for three exclusive components of the state and county level household phone coverage rates. The contractor shall: (1) produce the state and county level small area estimates for all the states and counties of US for the two smoking prevalence (current and ever smoking) for the data period 2007-2009 by combining data from the National Health Interview Survey (NHIS) and the Behavioral Risk Factor Surveillance System (BRFSS) and extending the methodology developed by Raghunathan et al (2007) to account for the portion of cell phone only households in the US in the estimation. Benchmark the county level estimates so that the aggregated county level estimate equals to the state level estimate for each state. Compare the final small area estimates to the corresponding direct estimates from NHIS and BRFSS as one quality check as well as other standard Bayesian model diagnostics. Summary graphs/ tables shall be submitted to the government no later than 120 days after contract award. (2) Produce county level small area estimates for all the counties in US for the two cancer screening prevalence (mammography prevalence within 2 years and pap smear test prevalence within 3 years) for the data period 2004-2008 by combining data from NHIS and BRFSS and extending the methodology developed by Raghunathan et al (2007) to account for the portion of cell phone only households in the US in the estimation. Benchmark the county level estimates so that the aggregated county level estimates match to the state level estimates previously provided to the government. Compare the final county level small area estimates to the corresponding direct estimates from the NHIS and BRFSS as one quality check as well as other standard Bayesian model diagnostics. Summary graphs/ tables shall be submitted to the government no later than 240 days after contract award. (3) Evaluate the estimates for the three exclusive components of the state and county level household phone coverage rates: landline only households; cell phone only households, cell and landline households. The direct estimates of these three components can be obtained from the NHIS through the NCHS data center. The direct estimates have to be smoothed using modeling approach. The contractor shall produce model based estimates for the three components using the two-sample modeling strategy implemented by Blumberg et al (2009), and then compare the corresponding results with those produced using the methodology developed for task (1) and task (2). For the two-sample modeling strategy, the contractor shall produce estimates on the state level. For county level, the contractor shall obtain estimates for those counties that can be identified from the public use file of the American Community survey posted on Census Bureau's website (www.census.gov). The contractor shall submit comparison graphs/tables no later than 365 days after contract award. The University of Pennsylvania School Of Medicine (U. Penn SOM) is uniquely qualified to perform the required estimates. U. Penn SOM has been instrumental in developing the computer implementation of statistical algorithms and theoretical background to support the combination of the (BRFSS) and (NHIS). U. Penn SOM developed all the computer algorithms, computer codes, assembled covariates, and coordinated the implementation on the internal data with NCHS staff. This project was awarded the 2007 Statistical Partnerships among Academe, Industry and Government (SPAIG) Award by the American Statistical Association (ASA) at the Salt Lake City Meeting in August 2007. NCI utilized the U. Penn SOM computer algorithms for the NCI SAE for Cancer Risk Factors & Screening Behavior (http://sae.cancer.gov) and now require that U. Penn SOM adapts, refines, and applies these algorithms to a new situation and more recent data. The U. Penn SOM is internationally renowned for its expertise in this unique niche area of methodology for combining the BRFSS and NHIS surveys to produce small area estimates adjusting for the unique biases and variability present in each survey. The results of this work have been presented at various professional meetings including: Joint Statistical Meetings, Eastern North American Region Meetings, International Conference for Health Policy Research, International Chinese Statistical Association Applied Statistics Symposium, and Annual Conference of Behavioral Risk Factor Surveillance System. The method developed during the BRFSS and NHIS combining surveys project was derived exclusively by U. Penn SOM faculty. This unique method is not available elsewhere and a new situation with more recent data requires an adaptation and refinement of the methodology's algorithms. U Penn SOM's unique methodology shall be used to extend the developed methodology to a new situation and more recent data. Final estimates will then be compared to corresponding final estimates from U. Penn SOM's previous estimates for the NHIS and BRFSS combining surveys project. Due to the unique method required, extensive background work already conducted by U. Penn SOM in this area of methodology, and the necessary experience to adapt the existing algorithm and troubleshoot the modifications, U. Penn is the only known source qualified to perform the required estimates. References: Blumberg SJ, Luke JV, Davidson G, Davern ME, Yu T, and Soderberg K (2009), Wireless substitution: state-level estimates from the national health interview survey, January-December 2007. National Health Statistics Reports, Number 14. Raghunathan TE, Xie D, Schenker N, Parsons V, Davis WW, Dodd K, and Feuer EJ. (2007). Combining information from multiple surveys for small area estimation: a Bayesian approach. Journal of the American Statistical Association, 102, 474-486. Xie, D. (2004) Combining information from multiple surveys for small area estimation: Bayesian approaches. University of Michigan Department of Biostatistics, Ph.D. thesis. 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 must 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 Office of Acquisitions on or before 11:00 AM EST on September 06, 2011. No electronic capability statements will be accepted (i.e. email or fax); an original and one copy must be sent to the NCI Office of Acquisitions to the address stated above. All questions must be in writing and can be faxed (301) 402-4513 or emailed to Miguel Diaz, Contract Specialist at miguel.diaz@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 number NCI-110164-MD on all correspondences.
 

Web Link

FBO.gov Permalink
(https://www.fbo.gov/spg/HHS/NIH/RCB/NCI-110164-MD/listing.html)
 

Place of Performance

Address: 3451 Walnut St, Philadelphia, Pennsylvania, 19104, United States

Zip Code: 19104
 

Record

SN02556258-W 20110901/110831000731-a26b8cdf69c17fcd9842f5c5f943dc7e (fbodaily.com)
 

Source

FedBizOpps Link to This Notice
(may not be valid after Archive Date)

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