Ted Cohen, DPH, MD, MPH

This package implements a hierarchical Bayesian logistic regression analysis to estimate a spatial change point corresponding to spillover from a point source while simultaneously accounting for small scale spatial variability via spatially correlated random effects (spherical covariance function). A similar method was used to estimated spillover of multidrug-resistant tuberculosis from a prison in Lima Peru (Warren et al. 2018). Please see the "Spillover_Model_Details" and "Spillover_Example" folders for more specific information regarding the statistical model and package use details, respectively.

Faculty: Joshua Warren, PhD; Ted Cohen, DPH, MD, MPH

Download: GitHub / Spillover package

Platform: R

Reference: doi.org (Spillover)

This package implements hierarchical Bayesian regression models to analyze factors associated with genetic similarity between pairs of individuals while accounting for multiple sources of correlation, and is fit using Markov chain Monte Carlo sampling techniques. Please see the "GenePair_Model_Details" and "GenePair_Example" folders for more specific information regarding the statistical model and package use details, respectively.

Faculty: Joshua Warren, PhD; Ted Cohen, DPH, MD, MPH

Download: GitHub / GenePair package

Platform: R

Reference: doi.org (GenePair)