Abstract

FSRDC allows qualified researchers to securely use restricted-access data from the U.S. Census Bureau, the National Center for Health Statistics (NCHS), the Agency for Healthcare Research and Quality (AHRQ), and the Bureau of Labor Statistics. These data are extraordinarily rich and virtually the only source for many important questions in health and social sciences. The Stanford Federal Statistical Research Data Center (FSRDC) allows qualified researchers to securely use restricted-access data from the U.S. Census Bureau, the National Center for Health Statistics (NCHS), the Agency for Healthcare Research and Quality (AHRQ), and the Bureau of Labor Statistics. For example, researchers can access detailed geographic indicators that are not publicly available in data such as the National Health Interview Survey (NHIS) and National Health and Nutrition Examination Survey (NHANES).

PHS does not host FSRDC data. If you wish to use FSRDC data for a health related project, please reach out to the Stanford FSRDC: https://iriss.stanford.edu/fsrdc

Before Manuscript Submission

All manuscripts (and other items you'd like to publish) must be submitted to

phsdatacore@stanford.edu for approval prior to journal submission.

We will check your cell sizes and citations.

For more information about how to cite PHS and PHS datasets, please visit:

https:/phsdocs.developerhub.io/need-help/citing-phs-data-core

Documentation

Metadata access is required to view this section.

Please note: This is a Synthetic data file, also known as a Dummy File - it is NOT real data. This synthetic data file should not be used for purposes other than to develop and test computer programs that are to be submitted by remote access. Each record in the synthetic file matches the format and content parameters of the real Statistics Canada Master File with which it is associated, but the data themselves have been 'made up'. They do NOT represent responses from real individuals and should NOT be used for actual analysis. These data are provided solely for the purpose of testing statistical packing 'code' (e.g. SPSS syntax, SAS programs, etc.) in preparation for analysis using the associated Master File in a Research Data Centre, by Remote Job Submission, or by some other means of secure access. If statistical analysis 'code' works with the synthetic data, researchers can have some confidence that the same code will run successfully against the Master File data in the Research Data Centres. The Canadian Community Health Survey (CCHS) is a cross-sectional survey that collects information related to health status, health care utilization and health determinants for the Canadian population. Starting in 2007, the CCHS now operates using continuous collection. It is a large sample, general population health survey, designed to provide reliable estimates at the health region level. In order to provide researchers with a means to access the master file(s), a remote access facility has been implemented. Remote access provides researchers with the possibility to submit computer programs via e-mail to a dedicated address (cchs-escc@statcan.ca), and to receive the results by return e-mail. To obtain remote access privileges, it is necessary that researchers obtain advance approval from the Health Statistics Division. Requests must be submitted to the aforementioned e-mail address and must provide the following, clearly itemized information: •the researcher’s affiliation, • the name of all researchers involved in the project, • the title of the research project, • an abstract of the project, • the goals of the research, • the data to which access is required (survey, cycle), • why the project requires access to the master data rather than the PUMF, • why Remote Access service is chosen rather the on-site access in a Research Data Centre (RDC), • the expected results, and • the project’s expected completion date. Further information is available by contacting the CCHS team at the above e-mail address or by phone at (613) 951-1653. Once the request for remote access has been approved, the researcher can submit his/her computer programs to the CCHS team for processing on the master file(s). The computer output is reviewed by the team for confidentiality concerns and returned to the researcher. However, the correctness and accuracy of each program submission remains, at all times, the sole responsibility of the researcher.