REAL LIFE DATA ANALYSIS

To provide our partners statistical analysis and inovative modelling methods for assessment of health products, technologies and strategies in real life.

- Correlation analysis and explanatory and predictive models: Linear Regression Analysis, logistic regression, polytomous ordered regression, semi-Markovian modelling (care pathway, time spent in a health state at a given time);

- Use of databases of health system funders: Cost Studies, Cost of illness and care pathway, medical consumption, segmentation of patients and caregivers;

- Comparability of patient groups included in the study: the propensity score method (conditional probability for an individual to belong to the treated group, knowing covariates of individuals in the control group);

- Quantifying the uncertainty of results: Parametric simulation of health state pathway with Monte Carlo method (calculation of confidence intervals at 95%).

 

 

 

 

 

Cost-effectiveness Studies in Real Life

To estimate the ex-post cost-effectiveness of your health strategy, from the Health care system or Health insurance perspective: Statistical analysis and modelling of real life data (cost of illness studies, healthcare pathway analysis, prescription treatment use in real life).

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