Evaluating the Use of Spatial Covariance Structures in the Analysis of Cardiovascular Imaging Data

DOI10.1080/03610918.2014.925922zbMath1349.62557OpenAlexW1994952044MaRDI QIDQ2828701

Jing Zhang, Inmaculada B. Aban, Samantha R. Seals, Charles R. Katholi

Publication date: 26 October 2016

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2014.925922

zbMATH Keywords

simulationpowerfixed effectsmisspecified covariancespatially correlated data

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Applications of statistics to biology and medical sciences; meta analysis (62P10) Biomedical imaging and signal processing (92C55)

Uses Software

• SAS
• SAS/STAT

Cites Work

• Estimating the dimension of a model
• Regression and time series model selection in small samples
• Applied Spatial Statistics for Public Health Data
• A new look at the statistical model identification

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