Using Classification and Regression Trees (CART) to Identify Prescribing Thresholds for Cardiovascular Disease | Zendy

Chris Schilling | Zendy; Duncan Mortimer | Zendy; Kim Dalziel | Zendy; Emma Heeley | Zendy; John Chalmers | Zendy; Philip Clarke | Zendy

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Using Classification and Regression Trees (CART) to Identify Prescribing Thresholds for Cardiovascular Disease

Author(s) -

Chris Schilling,

Duncan Mortimer,

Kim Dalziel,

Emma Heeley,

John Chalmers,

Philip Clarke

Publication year - 2015

Publication title -

pharmacoeconomics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.809

H-Index - 100

eISSN - 1179-2027

pISSN - 1170-7690

DOI - 10.1007/s40273-015-0342-3

Subject(s) - cart , health economics , medicine , quality of life research , regression , health administration , public health , disease , regression analysis , linear regression , statistics , mathematics , pathology , engineering , mechanical engineering

Many guidelines for clinical decisions are hierarchical and nonlinear. Evaluating if these guidelines are used in practice requires methods that can identify such structures and thresholds. Classification and regression trees (CART) were used to analyse prescribing patterns of Australian general practitioners (GPs) for the primary prevention of cardiovascular disease (CVD). Our aim was to identify if GPs use absolute risk (AR) guidelines in favour of individual risk factors to inform their prescribing decisions of lipid-lowering medications.

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