You may need to estimate expected duration of time before a patient experiences a predefined clinical event, such as hospitalisation or disease progression. We work with you to plan and execute the most appropriate types of survival analysis based on your data and analysis objectives.
Your development of a new drug or device may hinge on answers that cannot be found directly in the literature. We can help you make the most of the relevant evidence by conducting network meta-analyses (also known as indirect treatment comparisons or multiple treatment comparisons). We have gained a reputation as industry leaders in our rigorous and innovative approach, publishing several highly cited studies and garnering special recognition from bodies such as the International Society for Pharmacoeconomics and Outcomes.
Whether the challenge involves simple or multiple linear regression or repeated-measures mixed models, we have extensive experience in developing regression models for use in clinical studies and health economic assessment.
- Missing data imputation
- Propensity score matching
- Statistical testing
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