SOLICITATION NOTICE
B -- Development of Statistical Methods and Analysis of Genetic and Epidemiologic Studies with Complex Samples
- Notice Date
- 8/13/2008
- 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, 6120 Executive Blvd., EPS Suite 600, Rockville, Maryland, 20852
- ZIP Code
- 20852
- Solicitation Number
- NCI-80178-MM
- Archive Date
- 9/12/2008
- Point of Contact
- Melissa P Marino,, Phone: 301-402-4509, Caren N Rasmussen,, Phone: (301) 402-4509
- E-Mail Address
-
marinome@mail.nih.gov, cr214i@nih.gov
- Small Business Set-Aside
- N/A
- Description
- The National Cancer Institute (NCI), Division of Cancer Epidemiology and Genetics (DCEG) plans to enter into a sole source procurement for the Development of Statistical Methods and Analysis of Genetic and Epidemiologic Studies with Complex Samples from Dr.Yan Li; 6427 Parkmont Dr; Arlington, Texas 76001. The supplies and services herein are being procured in accordance with the simplified acquisition procedures authorized by FAR Part 13. The North American Industry Classification System Code is 541690 and the business size standard is $6.5 million. The NCI has collaborated with the National Center for Health Statistics (NCHS) to conduct cohort and cross-sectional analyses from NCHS surveys and to genotype the samples from the NCHS’s National Health and Nutrition Examination Survey (NHANES). Along with genetic data from NCI case control studies that use complex samples, standard genetic statistical analyses require modification in order to take account of the sample weighting and complex samples designs used by these surveys and case-control studies. This project is designed to expand a wide range of statistical methods to properly analyze cross-sectional, case-control and cohort studies with complex samples. In addition this project will put into practice these methods to analyze range of epidemiologic studies of with complex sample design that will be applied to the collaborative analysis of the Kidney Cancer Case-control Study and the Karposi Sarcoma Sicilian Study. The contractor shall develop methods for efficiently analyzing case-control studies where the controls and the cases are from weighted samples and the controls may also be a stratified cluster sample. These methods will involve modifications for complex samples of logistic regression analysis of case case-control studies and modification of gene by environment interaction analyses based on the assumption of gene and environment independence. These methods will be applied to the collaborative analysis of the Kidney Cancer Case-control Study and the Karposi Sarcoma Sicilian Study. The contractor will develop statistical methods for conducting genetic analyses of cross-sectional and cohort data from the complex samples of the NHANES. These methods will be used to analyze cross-sectional relationships of genes involved with lead metabolism and serum lead levels and the risk of mortality from any cause, cardiovascular and cancer of follow-up of NHANES III study subjects. Manuscripts describing the methods and substantive results will be written. The contractor shall also help d esign and analyze two epidemiologic African studies cohort study involving analyses of complex samples. The Period of Performance shall be 12 months from date of award. Dr. Li has been an active collaborator with DCEG researchers on a variety of analyses of complex sample data involving analysis of the Karposi Sarcoma Sicilian Study, the analysis of the Lead, Genetic Susceptibility and Mortality Study and gene by environment analysis of organochlorines and testicular cancer. Dr Li’s skills enable her to combine genetic methods and epidemiologic methods for analysis of case-control and cross-section survey studies with complex sample designs. In particular, Dr. Li has developed new statistical methods for analyzing genetic data from complex survey data. The proposed analyses of genetic and other types of data from complex samples require adaption of advanced methods that use tools for quasi-score genetic methods and estimating equation methods that build on previous analytic tools, each of which have been developed by Dr. Li. There is no other known source to the National Cancer Institute who possesses the techniques necessary to lead the development and application of statistical methods for analyzing genetic data and case-control data complex samples. This is not a solicitation for competitive quotations. However, if any interested party believes it can perform the requirement as detailed 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 contracting office by 1:00 pm EDT, on August 28, 2008. All questions must be in writing and must be emailed to Melissa Marino at marinome@mail.nih.gov faxed to (301) 402-4513. 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 from the NCI contractors must be registered in the Online Representations and Certifications Applications (ORCA). Please refer to http://orca.bpn.gov In addition; contractors must be registered in the Central Contractor Registration (CCR) www.ccr.gov. No collect calls will be accepted. Please reference NCI-80178-MM on all correspondence.
- Web Link
-
FedBizOpps Complete View
(https://www.fbo.gov/?s=opportunity&mode=form&id=0185251436a4485a59ec79835e3c7187&tab=core&_cview=1)
- Record
- SN01639694-W 20080815/080813224910-0185251436a4485a59ec79835e3c7187 (fbodaily.com)
- Source
-
FedBizOpps Link to This Notice
(may not be valid after Archive Date)
| FSG Index | This Issue's Index | Today's FBO Daily Index Page |