Semiparametric Additive Model for Estimating Risk Difference in Multicenter Studies.

TitleSemiparametric Additive Model for Estimating Risk Difference in Multicenter Studies.
Publication TypeJournal Article
Year of Publication2018
AuthorsZeng, Donglin, Noorie Hyun, and Jianwen Cai
JournalBiostat Epidemiol
Date Published2018

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.

Alternate JournalBiostat Epidemiol
Original PublicationSemiparametric additive model for estimating risk difference in multicenter studies.
PubMed ID30631827
PubMed Central IDPMC6322696
Grant ListP01 CA142538 / CA / NCI NIH HHS / United States
R01 GM124104 / GM / NIGMS NIH HHS / United States