The NSAPH Subcollection, part of the Climate-Health CAFÉ Dataverse, features data contributions from the National Studies on Air Pollution and Health (NSAPH) group based at the Harvard T.H. Chan School of Public Health.

This subcollection is focused on providing datasets related to air pollution, climate change, and public health. These datasets result from NSAPH's work in studying the environmental impacts on health outcomes and regulatory policy.

Instructions

The NSAPH Subcollection is open for reuse of the general public, but contributions are restricted to NSAPH collaborators. Instructions for NSAPH collaborators that want to upload datasets are offered in the CAFÉ Dataverse upload instructions.

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1,091 to 1,094 of 1,094 Results
R Data - 14.4 MB - MD5: 07149434a8b0a6e5554f3703866790b7
Stanfit object for sensitivity analysis including sex as the only individual-level categorical covariate
R Data - 14.6 MB - MD5: a2797473a8ea269fe5485944004d5ea1
Stanfit object for sensitivity analysis excluding sex as a covariate
Feb 3, 2022
Khoshnevis, Naeem; Wu, Xiao; Braun, Danielle, 2022, "Synthetic Medicare Data for Environmental Health Studies", https://doi.org/10.7910/DVN/L7YF2G, Harvard Dataverse, V1, UNF:6:wxOArbL7aAjUs5Ezcu5EFg== [fileUNF]
We present a synthetic medicare claims dataset linked to environmental exposures and potential confounders. In most environmental health studies relying on claims data, data restrictions exist and the data cannot be shared publicly. Centers for Medicare and Medicaid services (CMS) has generated synthetic publicly available Medicare claims data for...
Tabular Data - 2.0 MB - 46 Variables, 3109 Observations - UNF:6:wxOArbL7aAjUs5Ezcu5EFg==
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