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Open accessBrief reportErika R Cheng , Sami Gharbi, Tammie L Nelson , Sarah E WieheTo cite: ChengER, GharbiS, NelsonTL, etal. Obesity Prevention in Early Life (OPEL) study: linking longitudinal data
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Gather the necessary longitudinal data sources
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Determine the common variables that can be used for linking the data
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Prepare the data by standardizing formats and resolving inconsistencies
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Validate the linked data to ensure accuracy and completeness

Who needs linking longitudinal data to?

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Researchers studying long-term trends or outcomes
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Government agencies tracking population statistics
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Healthcare organizations monitoring patient outcomes over time
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Social scientists interested in analyzing changes in behavior or attitudes
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Linking longitudinal data refers to the process of connecting and integrating data collected from the same subjects over multiple time points to analyze changes over time.
Organizations and researchers who collect and analyze longitudinal data are typically required to file linking longitudinal data, especially if it involves regulatory compliance or funding requirements.
To fill out linking longitudinal data, one must collect and organize data points from each participant over the specified time periods, ensuring accuracy in the relational dataset and following any guidelines provided by regulatory bodies.
The purpose of linking longitudinal data is to enable comprehensive analyses of trends, patterns, and causations over time, providing insights into the subjects' development or outcomes.
Information that must be reported includes participant identifiers, time points of data collection, variables measured, data collection methods, and any applicable demographic information.
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