Version 10/2021
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General Information |
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Date: |
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Title of Project: |
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NCHS Data System and Years: |
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Non-NCHS Data Files: |
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Location of Access:
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[_] NCHS RDC, Hyattsville, MD[_] NCHS RDC, Rockville, MD [_] NCHS RDC, Washington, DC (Government Only)[_] NCHS RDC, Atlanta, GA [_] Federal Statistical RDC, specify: ___________________ |
Statistical Software:(Check all that apply) |
[_] SAS/SUDAAN [_] Stata [_] Other, specify: ________________ |
Proposed Start Date: |
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Funding Source: |
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Billing Address:(include contact person) |
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List the name, institution, contact information, and role for anyone who will contribute to publications resulting from this project. Everyone listed must submit a C.V or resume. Expand Research Team table below as needed.
Research Team |
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Role: |
Principal Investigator |
Co-Investigator |
Name |
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Phone |
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Institution |
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Mailing Address |
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SSS Status? Y or N |
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US Citizen? Y or N |
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Programmer
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Programmer
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Name |
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Phone |
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Institution |
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Mailing Address |
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SSS Status? Y or N |
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US Citizen? Y or N |
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Advisor (For Students and Post-Docs) |
Other, specify: |
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Name |
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Phone |
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Institution |
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Mailing Address |
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SSS Status? Y or N |
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US Citizen? Y or N |
Complete as applicable for your project. Address any “Yes” responses in the body of the proposal.
RDC Proposal Summary Information |
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NO |
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Geographic variables |
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Level of geography to be shown in output (check all that apply) |
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National |
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Regional |
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State |
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MSA |
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County |
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Urban/rural classification |
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Census tract |
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Latitude/Longitude |
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Other |
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Will geographic identifier(s) be removed after merge |
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If yes, can true geographic identifiers be replaced with masked versions of these variables |
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Is GIS or mapping proposed |
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Dates and Temporal information |
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Are exact dates requested other than to calculate time of follow-up |
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If more than 1 year/cycle, will years/cycles be presented separately |
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Merging of data with NCHS restricted data |
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Are external data being merged with NCHS data |
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Linked Data Products |
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Are you requesting linked Medicare/Medicaid files |
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If yes, are you using multiple years |
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Are you using public-use mortality data |
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Please address the four items below and provide an explanation for “yes/checked” responses from the RDC Proposal Summary Information.
Survey, Years, Files:
List survey name(s) and survey years you would like to access. For examples, NHIS 2005-2007 Household, Person and Sample Adult Files, NAMCS 2005-2006 Provider and Patient Visit Files, or NHANES 2005-2006 Examination and Demographic Files.
Restricted-use Data:
List and describe the restricted-use variables that you will need. These variables must be listed in the Data Dictionary section of this proposal. Explain why each variable is needed and how you will include them in your analysis. Specify how geographic variables, if applicable, will be used to merge files, analyze the data and/or be presented in output.
Non-NCHS Data:
If you plan to provide data from another source (such as Census or EPA) to merge to the restricted-use data, please describe the source, list the filename(s), and provide a general description of the non-NCHS data. The variables from the non-NCHS data must be listed in the Data Dictionary section.
Merge Variables:
In detail, please describe the merge procedures needed to produce your analytic dataset(s). Highlight the variables used in the merge routine in the Data Dictionary. Leave blank if not applicable (e.g. NHDS, NAMCS/NHAMCS, Mortality, Natality, and DHHS Hosted Data Users). Note: The RDC Analyst will merge the data for you.
“What variable(s) will be used to merge the public and restricted NCHS data files?
What variable(s) will be used to merge the NCHS data files with any non-NCHS data?
We highly recommend you familiarize yourself with the analytic guidelines of the data you intend to use. Any deviations from the methodology suggested in the guidelines will require explanation as it may pose a disclosure risk. Please address these three items in your proposal:
Unit or Level of Analysis and Subpopulation(s):
There can be many levels of analysis: be as detailed as possible in your description. A common example for an analysis using NHANES data is where the unit of analysis is the person while the subpopulation is adults ages 18-64. A common example involving geography is when the researcher aggregates persons to the state level to make comparisons between state policies.
Analysis Plan: Provide an overall analysis plan that specifies what analytic procedures or models you will use, such as prevalence estimates, logistic regression, or log-linear modeling. Also, list the specific statistical package procedures you will use.
Complex Survey Design: Indicate how you will address sample weights, design variables, and other adjustments for the use of complex survey data, if applicable, using the statistical software listed in the General Information area. A detailed description per weight, design variables, and other adjustments are required and central to understanding the limitation of the data. This is a critical element to describe and is central to the proposal review process.
Please describe in full detail all of the output you need to look at in order to ensure that the data file created for you is correct and complete. NCHS will only provide you with a SAS proc contents as the default if you do not specify any additional output needed.
Please describe in full detail all of the output you would like to take out of the RDC that is needed for the final product you wish to create. Please be very specific in describing your output needs (i.e., state groupings, levels of output and how restricted-use data will be displayed) as this section is necessary for the Review Committee to assess disclosure risk of your output. Your examples should reflect the geographic variables you will use in your output. Note: Any output produced in the RDC that is not listed in your proposal will not be allowed out of the RDC.
Appendix Section of Proposal
File Type | application/vnd.openxmlformats-officedocument.wordprocessingml.document |
File Title | Title |
Author | hts0 |
File Modified | 0000-00-00 |
File Created | 2022-08-13 |