A technique in statistics used to compare one or more independent variables with one or more dependent variables. The focus is on finding a relationship between the variables to help understand the impact one has on the other.
Regression analysis is typically used for prediction and forecasting, in circumstances when its use has notable overlap with an area of machine learning. Regression analysis also aids understanding on how independent variables are related to the dependent variable, and to further investigate the configuration of these relationships.
Reimbursement, Cost-effectiveness league table (healthcare economics), PEEST, Boston matrix, Competitor analysis, Competitors, Cost-effectiveness threshold (health economics), Trend analysis, Porter's 'Five Forces', Baseline, Drivers, Sensitivity analysis (pharmacoeconomics), Payment by results (PBR) , Cost-effectiveness analysis (health economics), Sensitivity to change (pharmacoeconomics),