NYU Dataset
Partial-linear Single-index Models for Analyzing Complex Environmental Exposures with NHANES
UID: 10417
- Description
- This record describes a cleaned dataset and supporting R code for a series of statistical models that were developed with data from the 2003–2004 National Health and Nutrition Examination Survey (NHANES) to assess the effects of environmental risk factors on continuous, categorical (binary), time-to-event, and longitudinal outcomes. Investigators utilized a unified partial-linear single-index (PLSI) modeling framework. The models were developed with a subset of NHANES data from 800 individuals. A single index was created using a linear combination of 8 exposure variables (a-tocopherol; g-tocopherol; retinyl-palmitate; retinol; 3,3,4,4,5-pncb; PCB156; 2,3,4,6,7,8-hxcdf; and trans-b-carotene). Confounders were age, sex, and race/ethnicity.
- Timeframe
- 2002 - 2003
- Geographic Coverage
-
United States
Access
- Restrictions
-
Free to All
- Instructions
- The dataset and supporting code can be accessed by clicking on the link to PubMed Central and reviewing the Supplemental Materials.
Observational
- Grant Support
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