Develops MrPlew to express MrP as locally equivalent to calibration weights near observed responses, enabling diagnostics and variance estimation for nonlinear models.
Struggles with Survey Weighting and Regression Modeling
2 Pith papers cite this work. Polarity classification is still indexing.
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SVBR is a new hierarchical Bayesian method that treats buffer radii as unknown spatially varying parameters, improves parameter recovery in simulations, and reveals spatial heterogeneity in healthcare access effects on antenatal care in Madagascar.
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Modeling Spatial Heterogeneity in Exposure Buffers and Risk: A Hierarchical Bayesian Approach
SVBR is a new hierarchical Bayesian method that treats buffer radii as unknown spatially varying parameters, improves parameter recovery in simulations, and reveals spatial heterogeneity in healthcare access effects on antenatal care in Madagascar.