A Semiparametric Single-Index Risk Score Across Populations
- Publication Type:
- Journal Article
- Citation:
- Journal of the American Statistical Association, 2017, 112 (520), pp. 1648 - 1662
- Issue Date:
- 2017-10-02
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| Filename | Description | Size | |||
|---|---|---|---|---|---|
| 4_3_2018_A Semipara.pdf | Published Version | 1.59 MB |
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© 2017 American Statistical Association. We consider a problem motivated by issues in nutritional epidemiology, across diseases and populations. In this area, it is becoming increasingly common for diseases to be modeled by a single diet score, such as the Healthy Eating Index, the Mediterranean Diet Score, etc. For each disease and for each population, a partially linear single-index model is fit. The partially linear aspect of the problem is allowed to differ in each population and disease. However, and crucially, the single-index itself, having to do with the diet score, is common to all diseases and populations, and the nonparametrically estimated functions of the single-index are the same up to a scale parameter. Using B-splines with an increasing number of knots, we develop a method to solve the problem, and display its asymptotic theory. An application to the NIH-AARP Study of Diet and Health is described, where we show the advantages of using multiple diseases and populations simultaneously rather than one at a time in understanding the effect of increased Milk consumption. Simulations illustrate the properties of the methods. Supplementary materials for this article are available online.
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