We collaborate with clients to strategize and develop Real World Evidence (RWE) studies that characterize unmet needs of disease, quantify clinical and economic burden of disease, estimate the effects of covariates on clinical and economic outcomes using a range of statistical programming packages, and multivariable and multivariate statistical models.

In particular, we help clients conceptualize and refine “What”, “Why”, “How”, “When”, and anticipated impact of RWE studies from fit-for-purpose Real World Data (RWD) identification, study protocol development and reviews, analytics requirements and specifications (e.g., SAP, PRS, TLFs), study implementation, application of appropriate econometrics/statistics methods, programming and analytic dataset construction, analysis and reporting, interpretation of results, and creation of dissemination materials (e.g., study report, abstracts, posters, manuscript).