Outcome Variables Should Be Measured At The "Gold Standard"

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Outcome variables

Choose the "gold standard" outcome that exists

An outcome variable is an event or metric that can be observed and measured in a valid fashion. Within applied statistics and research, outcome variables can be categorical (non-parametric statistics), ordinal (non-parametric statistics), or continuous (parametric statistics).Predictor variables are chosen because there is a hypothesized association with the outcome variable. Confounding and control variables can mediate associations between predictor and outcome variables and should be taken into account, if at all possible. It is extremely important to measure outcomes variables at the current "gold standard" level. Outcome variables increase the precision and accuracy of measurement (internal validity) and make study results more readily generalized into the clinical environment. Back to Types of Variables Research Engineer Home Page

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