Variables Must Defined Explained for Students (Easy Guide)

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Original Question

All variables must be defined explicitly for the research team to ensure that they are recorded correctly. For example, if collecting data on anemia, this variable could be dichotomized (ie, Hemoglobin <12g/dL or >12g/dL) or could be recorded as a continuous unit of measure such as (ie, 8.8g/dL). When possible, it is better to record quantitative numerical measurements. Quantitative measures can always be categorized later during statistical analysis, but it is more time-consuming to go back and retrieve specific measurements that were initially recorded as categorical. Generally, when reviewing medical records, it is better to record more data than one may end up using. Primary and secondary outcomes must also be defined explicitly for the database. For example, if looking at an outcome of postpartum depression, this outcome could be defined as initiation of an antidepressant or defined as a threshold score on a depression screen. The research team must agree on how to record this outcome in the data set. rewrite

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