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CDC's National Health Interview Survey (HIS) provides public use files containing person-level data including demographic data and physical parameters such as weight, and disability. Dating back to 1957, it is an annual survey of a nationally representative sample dates (http://www.cdc.gov/nchs/nhis.htm).

CDC's National Health And Nutritional Examination Survey (NHANES) provides public use files containing person-level data including demographic, dietary, examination, and laboratory data.

The Health and Retirement Study (sponsored by the National Institute on Aging, and Social Security Administration) is longitudinal panel cohort study that started in 1992, and covers a representative sample of Americans over the age of 50, as they transition into retirement. Only certain person-level data are public use, because of the sensitive data collected including genetic information, prescription drug use, cognitive function, biomarkers, etc. The "core" survey is supplemented by focused add-on modules.

The 3 surveys above are used for econometric microsimulation models; in case you wanted another way to search for these datasets that would be one way to back into it.

Note, de-identified patient data will not include names.

Concerning EAV models that use large datasets where information in certain categories is relatively sparse, "sparse" suggests that an individual could be re-identified. At least with US government release of data, any such sparse data would be suppressed if an individual could be re-identified. Protection of personally identifiable information (PII) and maintaining patient confidentiality are considered fundamental to ensuring public trust and participation in these surveys.

Disclosure: I work for the Asst Secretary for Planning and Evaluation (ASPE) in the Dept of Health and Human Services (HHS) on the open data initiative. Surveys mentioned above are all HHS surveys, though I have no direct connection to any of them.

CDC's National Health Interview Survey (HIS) provides public use files containing person-level data including demographic data and physical parameters such as weight, and disability. Dating back to 1957, it is an annual survey of a nationally representative sample dates.

CDC's National Health And Nutritional Examination Survey (NHANES) provides public use files containing person-level data including demographic, dietary, examination, and laboratory data.

The Health and Retirement Study (sponsored by the National Institute on Aging, and Social Security Administration) is longitudinal panel cohort study that started in 1992, and covers a representative sample of Americans over the age of 50, as they transition into retirement. Only certain person-level data are public use, because of the sensitive data collected including genetic information, prescription drug use, cognitive function, biomarkers, etc. The "core" survey is supplemented by focused add-on modules.

The 3 surveys above are used for econometric microsimulation models; in case you wanted another way to search for these datasets that would be one way to back into it.

Note, de-identified patient data will not include names.

Concerning EAV models that use large datasets where information in certain categories is relatively sparse, "sparse" suggests that an individual could be re-identified. At least with US government release of data, any such sparse data would be suppressed if an individual could be re-identified. Protection of personally identifiable information (PII) and maintaining patient confidentiality are considered fundamental to ensuring public trust and participation in these surveys.

Disclosure: I work for the Asst Secretary for Planning and Evaluation (ASPE) in the Dept of Health and Human Services (HHS) on the open data initiative. Surveys mentioned above are all HHS surveys, though I have no direct connection to any of them.

CDC's National Health Interview Survey (HIS) provides public use files containing person-level data including demographic data and physical parameters such as weight, and disability. Dating back to 1957, it is an annual survey of a nationally representative sample dates (www.cdc.gov/nchs/nhis.htm).

CDC's National Health And Nutritional Examination Survey (NHANES) provides public use files containing person-level data including demographic, dietary, examination, and laboratory data.

The Health and Retirement Study (sponsored by the National Institute on Aging, and Social Security Administration) is longitudinal panel cohort study that started in 1992, and covers a representative sample of Americans over the age of 50, as they transition into retirement. Only certain person-level data are public use, because of the sensitive data collected including genetic information, prescription drug use, cognitive function, biomarkers, etc. The "core" survey is supplemented by focused add-on modules.

The 3 surveys above are used for econometric microsimulation models; in case you wanted another way to search for these datasets that would be one way to back into it.

Note, de-identified patient data will not include names.

Concerning EAV models that use large datasets where information in certain categories is relatively sparse, "sparse" suggests that an individual could be re-identified. At least with US government release of data, any such sparse data would be suppressed if an individual could be re-identified. Protection of personally identifiable information (PII) and maintaining patient confidentiality are considered fundamental to ensuring public trust and participation in these surveys.

Disclosure: I work for the Asst Secretary for Planning and Evaluation (ASPE) in the Dept of Health and Human Services (HHS) on the open data initiative. Surveys mentioned above are all HHS surveys, though I have no direct connection to any of them.

CDC's National Health Interview Survey (HIS) provides public use files containing person-level data including demographic data and physical parameters such as weight, and disability. Dating back to 1957, it is an annual survey of a nationally representative sample dates (http://www.cdc.gov/nchs/nhis.htm).

CDC's National Health And Nutritional Examination Survey (NHANES) provides public use files containing person-level data including demographic, dietary, examination, and laboratory data.

The Health and Retirement Study (sponsored by the National Institute on Aging, and Social Security Administration) is longitudinal panel cohort study that started in 1992, and covers a representative sample of Americans over the age of 50, as they transition into retirement. Only certain person-level data are public use, because of the sensitive data collected including genetic information, prescription drug use, cognitive function, biomarkers, etc. The "core" survey is supplemented by focused add-on modules.

The 3 surveys above are used for econometric microsimulation models; in case you wanted another way to search for these datasets that would be one way to back into it.

Note, de-identified patient data will not include names.

Concerning EAV models that use large datasets where information in certain categories is relatively sparse, "sparse" suggests that an individual could be re-identified. At least with US government release of data, any such sparse data would be suppressed if an individual could be re-identified. Protection of personally identifiable information (PII) and maintaining patient confidentiality are considered fundamental to ensuring public trust and participation in these surveys.

Disclosure: I work for the Asst Secretary for Planning and Evaluation (ASPE) in the Dept of Health and Human Services (HHS) on the open data initiative. Surveys mentioned above are all HHS surveys, though I have no direct connection to any of them.

CDC's National Health Interview Survey (HIS) provides public use files containing person-level data including demographic data and physical parameters such as weight, and disability. Dating back to 1957, it is an annual survey of a nationally representative sample dates (www.cdc.gov/nchs/nhis.htm).

CDC's National Health And Nutritional Examination Survey (NHANES) provides public use files containing person-level data including demographic, dietary, examination, and laboratory data.

The Health and Retirement Study (sponsored by the National Institute on Aging, and Social Security Administration) is longitudinal panel cohort study that started in 1992, and covers a representative sample of Americans over the age of 50, as they transition into retirement. Only certain person-level data are public use, because of the sensitive data collected including genetic information, prescription drug use, cognitive function, biomarkers, etc. The "core" survey is supplemented by focused add-on modules.

The 3 surveys above are used for econometric microsimulation models; in case you wanted another way to search for these datasets that would be one way to back into it.

Note, de-identified patient data will not include names.

Concerning EAV models that use large datasets where information in certain categories is relatively sparse, "sparse" suggests that an individual could be re-identified. At least with US government release of data, any such sparse data would be suppressed if an individual could be re-identified. Protection of personally identifiable information (PII) and maintaining patient confidentiality are considered fundamental to ensuring public trust and participation in these surveys.

CDC's National Health Interview Survey (HIS) provides public use files containing person-level data including demographic data and physical parameters such as weight, and disability. Dating back to 1957, it is an annual survey of a nationally representative sample dates (www.cdc.gov/nchs/nhis.htm).

CDC's National Health And Nutritional Examination Survey (NHANES) provides public use files containing person-level data including demographic, dietary, examination, and laboratory data.

The Health and Retirement Study (sponsored by the National Institute on Aging, and Social Security Administration) is longitudinal panel cohort study that started in 1992, and covers a representative sample of Americans over the age of 50, as they transition into retirement. Only certain person-level data are public use, because of the sensitive data collected including genetic information, prescription drug use, cognitive function, biomarkers, etc. The "core" survey is supplemented by focused add-on modules.

The 3 surveys above are used for econometric microsimulation models; in case you wanted another way to search for these datasets that would be one way to back into it.

Note, de-identified patient data will not include names.

Concerning EAV models that use large datasets where information in certain categories is relatively sparse, "sparse" suggests that an individual could be re-identified. At least with US government release of data, any such sparse data would be suppressed if an individual could be re-identified. Protection of personally identifiable information (PII) and maintaining patient confidentiality are considered fundamental to ensuring public trust and participation in these surveys.

Disclosure: I work for the Asst Secretary for Planning and Evaluation (ASPE) in the Dept of Health and Human Services (HHS) on the open data initiative. Surveys mentioned above are all HHS surveys, though I have no direct connection to any of them.