Observational Studies – Our Services

1) Consulting on when to use observational studies in Comparative Effectiveness Research (CER)
2) Identify potential selection biases in observational studies
– Prepare Causal Diagrams
– Identify potential biases
– Proposals to handle the biases
3) Identify potential data sources for observational studies in clinical research, cancer research, and research on rare diseases
4) Data architecture, modeling and engineering for use of registries (as source of observational study data)
5) Simple Analytical methods (Linear, Logistic regression)
6) Advanced Analytical methods (Propensity scores)
7) Longitudinal Data Analysis (of linear/logistic regressions)
8) Survival Analysis
9) Analysis of Medical Cost Data
10) Policy changes and Result Evaluation