Graphing each individual's data over time
Abstract. Graphing each individual's data over time (in separate graphs) can be a
worthwhile approach in exploring longitudinal and panel datasets. This
especially applies for datasets where several variables change over time and
where there are many possible time points, for example, administrative datasets
and patient safety profiles in clinical trials. Studying a few individuals'
graphs closely can provide insight into the nature and quality of the data,
generate hypotheses, and inform data analysis. Selecting a few typical or
unusual graphs can make for powerful presentations at meetings. I give examples
of graphing a single variable and multiple variables over time for each
individual, and I detail associated Stata coding tips and tricks.
View all articles by this author:
Mark D. Chatfield
View all articles with these keywords:
longitudinal data, panel data, time series, graphics, twoway, scatter, putdocx, superimposition, xtline, patient profile, profile plot, developmental trajectory
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