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.
Mathematical analysis of perception and preference (MAPP), Sensitivity to change (pharmacoeconomics), Drug tariff, Cost utility analysis (health economics), Payment by results (PBR) , PEEST, Geo-demographics, Discounted cash flow (DCF), Dog, Cost-effective (healthcare economics), Outlier, Cost-effectiveness threshold (health economics), Porter's 'Five Forces', Boston matrix, Cost-minimisation analysis (CMA),