Partial linear inference for a 2-stage outcome-dependent sampling design with a continuous outcome |
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Authors: | Qin Guoyou Zhou Haibo |
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Affiliation: | Department of Biostatistics, School of Public Health and Key Laboratory of Public Health Safety, Ministry of Education of China, Fudan University, Shanghai 200032, People's Republic of China. |
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Abstract: | The outcome-dependent sampling (ODS) design, which allows observation of exposure variable to depend on the outcome, has been shown to be cost efficient. In this article, we propose a new statistical inference method, an estimated penalized likelihood method, for a partial linear model in the setting of a 2-stage ODS with a continuous outcome. We develop the asymptotic properties and conduct simulation studies to demonstrate the performance of the proposed estimator. A real environmental study data set is used to illustrate the proposed method. |
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