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- W286865709 abstract "Cross-visit checks are a vital part of data cleaning for longitudinal studies. The nature of longitudinal studies encourages repeatedly collecting the same information. Sometimes, these variables are expected to remain static, go away, increase, or decrease over time. This presentation reviews the naïve and the better approaches at handling one-variable and two-variable consistency checks. For a single-variable check, the better approach features the new ALLCOMB function, introduced in SAS® 9.2. For a two-variable check, the better approach uses a BY PROCESSING variable to flag inconsistencies. This paper will provide you the tools to enhance your longitudinal data cleaning process." @default.
- W286865709 created "2016-06-24" @default.
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- W286865709 date "2014-03-01" @default.
- W286865709 modified "2023-09-23" @default.
- W286865709 title "DATA CLEANING: LONGITUDINAL STUDY CROSS-VISIT CHECKS." @default.
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