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... > medicine > clinical medicine > medical decision making > biostatistics and clinical epidemiology > causal inference in medical decision making

... > medicine > clinical medicine > medical decision making > biostatistics and clinical epidemiology > causal inference in medical decision making

Preferred term

causal inference in medical decision making

One of the most important tasks of decision analysts is to derive causal interpretations, on both the level of decision modeling and the level of statistical analyses of original data sets. Usually, an intervention, action, strategy, or risk factor profile is modeled to have a “causal effect” on one or more model parameters (e.g., probability, rate, or mean) of an outcome such as morbidity, mortality, quality of life, or any other outcome. [Source: Encyclopedia of Medical Decision Making; Causal Inference in Medical Decision Making]

biostatistics and clinical epidemiology

methods

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http://data.loterre.fr/ark:/67375/N9J-GBWPZ539-K

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