Health economic, statistical and decision evaluation

REAL LIFE DATA ANALYSIS (SNDS)

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 (SNDS): Cost Studies, Cost of illness and care pathway, medical consumption, segmentation of patients and caregivers;

- Comparability of patient groups included in the study: the high dimentional propensity score (hdPS) 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 (source : SNDS)

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).

^(*)Schneeweiss S, Rassen JA, Glynn RJ, Avorn J, Mogun H, Brookhart MA. High-dimensional propensity score adjustment in studies of treatment effects using health care claims data [published correction appears in Epidemiology. 2018 Nov;29(6):e63-e64]. Epidemiology. 2009;20(4):512‐522. doi:10.1097/EDE.0b013e3181a663cc