I am working on a class that will teach basic data management and graphics using the R programming language with parallel classes in SPSS and SAS. On the third or fourth day of the class, we will look at managing longitudinal data sets, as these require special skills. I wanted to find a couple of reasonably simple longitudinal data sets that were available on the web and which had at least a few missing values in them. Here’s a couple of data sets that might work.
Don Hedeker has a nice file on treatment of schizophrenia patients. The outcome variable was severity of illness, which was measured on a seven point scale:
1 = normal
2 = borderline mentally ill
3 = mildly ill
4 = moderately ill
5 = markedly ill
6 = severely ill
7 = among the most extremely ill
Patients received either a placebo or an active medication and they were evaluated at baseline (0), and at weeks 1, 3, and 6. The gender of the patient is also recorded. Some patients dropped out of the study and it is interesting to talk about some of the simple (but not necessarily recommended) approaches like LOCF (Last Observation Carried Forward).
The data set can be found at http://tigger.uic.edu/~hedeker/SCHIZREP.DAT.txt. or http://rem.ph.ucla.edu//mld/data/tabdelimiteddata/schizophrenia.txt.
Additional resources related to this data set can also be found at Dr. Hedeker’s website, though they are rather advanced and not germane to the data management and basic graphical methods that I want to talk about.
Another interesting longitudinal data set appears at the OzDASL website. The data is taken from the HARVEST trial, which examined whether ambulatory monitoring of blood pressure adds useful information beyond what is collected in a doctor’s clinic. The data set includes information on systolic and diastolic blood pressures and heart rate. The suffix A or C indicates whether the measurement was done in an ambulatory or clinical setting, and a second suffix of B, 3, 5, or E indicates whether the measurement was taken at baseline, 3 months, 5 years, or at the endpoint. The endpoint measure is not explained very clearly, but a variable labelled time is described as “Time in months from baseline examination to the date of endpoint or to May 30, 1999, whichever was earlier” which implies that some of the patients did not complete a full five years.
The data set is available at
and a description is at