Title | Semiparametric Inference for Data with a Continuous Outcome from a Two-Phase Probability Dependent Sampling Scheme. |
Publication Type | Journal Article |
Year of Publication | 2014 |
Authors | Zhou, Haibo, Wangli Xu, Donglin Zeng, and Jianwen Cai |
Journal | J R Stat Soc Series B Stat Methodol |
Volume | 76 |
Issue | 1 |
Pagination | 197-215 |
Date Published | 2014 Jan 01 |
ISSN | 1369-7412 |
Abstract | Multi-phased designs and biased sampling designs are two of the well recognized approaches to enhance study efficiency. In this paper, we propose a new and cost-effective sampling design, the two-phase probability dependent sampling design (PDS), for studies with a continuous outcome. This design will enable investigators to make efficient use of resources by targeting more informative subjects for sampling. We develop a new semiparametric empirical likelihood inference method to take advantage of data obtained through a PDS design. Simulation study results indicate that the proposed sampling scheme, coupled with the proposed estimator, is more efficient and more powerful than the existing outcome dependent sampling design and the simple random sampling design with the same sample size. We illustrate the proposed method with a real data set from an environmental epidemiologic study. |
DOI | 10.1111/rssb.12029 |
Alternate Journal | J R Stat Soc Series B Stat Methodol |
Original Publication | Semiparametric inference for data with a continuous outcome from a two-phase probability dependent sampling scheme. |
PubMed ID | 24737947 |
PubMed Central ID | PMC3984585 |
Grant List | R01 CA082659 / CA / NCI NIH HHS / United States UL1 TR001111 / TR / NCATS NIH HHS / United States R37 GM047845 / GM / NIGMS NIH HHS / United States UL1 RR025747 / RR / NCRR NIH HHS / United States P01 CA142538 / CA / NCI NIH HHS / United States R01 ES021900 / ES / NIEHS NIH HHS / United States R01 CA079949 / CA / NCI NIH HHS / United States |
Semiparametric Inference for Data with a Continuous Outcome from a Two-Phase Probability Dependent Sampling Scheme.
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