Jonathan Heintz Email and Phone Number

• Conduct regular meetings & discussions with investigators for status updates and results • Extensive data management, validation, and cleaning – HIPPA compliant and only secure data transfers• Comprehensive statistical analyses with many methodologies in SAS, R, and Stata• Generate written reports in understandable language and data visualization for physicians and non-statisticians• Sample size and power calculations for clinical trials and observational studies• Support writing manuscripts, publications, and grant proposals• Training through Centers for Medicare & Medicaid Services (CMS) and their Virtual desktop infrastructure• Methods used include (but not limited to): - Regression: ANCOVA, Difference-in-Difference, Generalized Linear Mixed Models, Generalized Linear Models, Linear Mixed Models, Log-Transformed Models, Poisson Regression, Two-Part Modeling - Categorical: Breslow Day Test, Cochran-Mantel-Haenszel Test, Fisher’s Exact Test, Generalized Estimating Equations, Logistic Regression, Pearson Chi-Square Tests, Row Means Test, Test of General Association - Survival & Time Series: Autoregressive Models, ARMA Models, Cox Proportional Hazards, Fine-Gray Competing Risk Analysis, Kaplan-Meier Analysis, Life Tables, Log-Rank Test, Seasonal ARIMA Models - Data Manipulation: Bootstrapping, Cross Validation, Cubic Splines, Inverse Probability Weighting, k-Fold Cross Validation, Multiple Imputation, Principal Component Analysis, Propensity Score Matching - Other: Kruskal-Wallis Test, Levene's Test for Homogeneity of Variances, Matched Pairs t-Test, Permutation Test, Shapiro-Wilk Test for Normality, t-Test, Wilcoxon Signed Rank/ Mann-Whitney-U Test