Variable selection for additive partially linear models with measurement error
โ Scribed by Zhangong Zhou; Rong Jiang; Weimin Qian
- Publisher
- Springer
- Year
- 2010
- Tongue
- English
- Weight
- 219 KB
- Volume
- 74
- Category
- Article
- ISSN
- 0026-1335
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
In dietary epidemiology, the key nutrient variables are often expressed in the quintile scale. The nutrients are often measured with error and it is of interest to consider estimates of relative risk for exposures in the quintile scale corrected for measurement error. In this paper, I propose a meas
Consider the partial linear models of the form Y=X { ;+ g(T)+e, where the p-variate explanatory X is erroneously measured, and both T and the response Y are measured exactly. Let X be the surrogate variable for X with measurement error. Let the primary data set be that containing independent observa