All of our principals have PhDs at leading universities, including Harvard, Stanford, and Columbia. They include nationally renowned scholars. They have extensive backgrounds in statistics and over 100 years of practical experience in quantitative and qualitative methods. Their experience includes analysis and testimony work for the Department of Justice, major law firms, and dozens of Fortune 500 firms. They have been admitted as experts in the fields of statistics and economics in a variety of federal and state courts throughout the United States, testifying on questions of statistical liability and damages in a variety of civil matters, including Medicare and Medicaid reimbursement cases, utility fee differentials, statistical methodology disputes, and statistical model disputes. Outside of direct testimony, they also provide more targeted statistical consulting support, and have authored independent analyses for numerous matters resolved via mediation or arbitration or otherwise outside of the litigation arena. They are experts in statistical programming languages such as SPSS, SAS, Stata, R, HLM, Mplus, SPSS Amos, SPSS Modeler, Azure, JMP, WinBUGS, Minitab, Match!3, and Access. They are experts in using qualitative data analysis software such as NVivo, Nud*ist, HyperResearch, and Atlas. They are experts in statistical analysis (e.g., linear regression, logistic regression, hierarchical regression analysis, correlation analysis, chi-square test, t-test, ANOVA, MANOVA, structural equation modeling (SEM), multilevel SEM, confirmatory factor analysis (CFA), multilevel CFA, factor analysis, principal components analysis, time series analysis, Cox regression, Kaplan-Meier survival analysis, hierarchical linear modeling (HLM), meta-analysis, Bayesian analysis, latent class analysis, longitudinal growth modeling, mixture model, linear mixed models, distribution analysis, ensemble analysis, de-identification, trend analysis, sensitivity analysis, negative binomial regression, interim analysis, decision tree, item analysis, nonparametric test, statistical and decision modeling, maxDiff, segmentation and cluster analysis, conjoint/discrete choice, predictive analytics, and advanced statistical analysis).