31 citations · 31 across the 2 of their papers we have counts for
2 papers
stat.AP2019★ 31 cited
Selecting a Scale for Spatial Confounding Adjustment
Joshua P. Keller, Adam A. Szpiro
Unmeasured, spatially-structured factors can confound associations between spatial environmental exposures and health outcomes. Adding flexible splines to a regression model is a s…
stat.ME2015
A novel principal component analysis for spatially-misaligned multivariate air pollution data
Roman A. Jandarov, Lianne A. Sheppard, Paul D. Sampson +1
We propose novel methods for predictive (sparse) PCA with spatially misaligned data. These methods identify principal component loading vectors that explain as much variability in…