Josh has academic degrees in both Statistics and Computer Science, with deep experience in statistical methodology and use of statistical software. His areas of interest include causal inference, propensity score matching, multiple regression diagnosis, structural equation modeling, software implementation and general computing concerns.
Josh Errickson
CSCAR Consultant
Ph.D. in Statistics, University of Michigan
Expertise:
Statistical modeling and computation; causal inference, data imputation, basic to advanced regression analysis, resampling approaches, multivariate analysis, complex surveys, programming in Stata and R.