During study design phase, recommend appropriate statistical methods to address study research objectives (e.g., power calculations, methods to mitigate selection bias, development of matched cohorts, development of measures from multiple sources [e.g., EMR + claims], analysis of NLP-derived measures from unstructured EMR, approach for outcomes that require time-to-event analysis with competing risk, multivariable modeling, repeated measures, time-averaged clinical measures, causal inference, and techniques for analyzing rare and ultra rare populations including Bayesian statistics). We help our clients: - Accelerate the drug development cycle - Make data driven commercial and financial decisions - Match and recruit patients for clinical trials - Assess competition and bring the right drugs to market - Identify and address barriers to patient access - Leverage the latest AI to turn data into insights for faster and better decision making Norstella serves almost every pharmaceutical and biotech company in the world, along with regulators like the FDA, and payers.