Title | Semiparametric Additive Model for Estimating Risk Difference in Multicenter Studies. |
Publication Type | Journal Article |
Year of Publication | 2018 |
Authors | Zeng, Donglin, Noorie Hyun, and Jianwen Cai |
Journal | Biostat Epidemiol |
Volume | 2 |
Issue | 1 |
Pagination | 84-98 |
Date Published | 2018 |
ISSN | 2470-9360 |
Abstract | Many cancer studies are conducted in multiple centers. While they have the advantage of more patients and larger population, center-to-center heterogeneity could be significant such that it cannot be ignored in analysis. In this paper, we propose semiparametric additive risk models with a general link function to estimate risk effects while accounting for center-specific baseline function. We propose an estimating equation for inference and show that the derived estimators are consistent and asymptotically normal. Simulation studies demonstrate good small-sample performance of the proposed method. We apply the method to analyze data from the Study of Left Ventricular Dysfunction (SOLVD) in 1990 and discuss application to one-to-one matched design. |
DOI | 10.1080/24709360.2018.1445430 |
Alternate Journal | Biostat Epidemiol |
Original Publication | Semiparametric additive model for estimating risk difference in multicenter studies. |
PubMed ID | 30631827 |
PubMed Central ID | PMC6322696 |
Grant List | P01 CA142538 / CA / NCI NIH HHS / United States R01 GM124104 / GM / NIGMS NIH HHS / United States |
Semiparametric Additive Model for Estimating Risk Difference in Multicenter Studies.
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