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From |
"Nick Cox" <n.j.cox@durham.ac.uk> |

To |
<statalist@hsphsun2.harvard.edu> |

Subject |
st: RE: seeking suggestions on how to illustrate data |

Date |
Tue, 29 Jul 2008 15:23:58 +0100 |

Each patient can be in or out of a particular cohort. With 5 cohorts that gives 2^5 = 32 possible histories. Some of them may not be observed. Even if they all occur some kind of bar chart should still be possible. This could show 1. The tallies over histories: so the categories could be 1, 12, 123, 1234, 12345, 13, etc. In principle that keeps all the information. 2. The tallies in each cohort, subdivided by when the patient first joined the study. That throws away some information. Nick n.j.cox@durham.ac.uk Jeph Herrin This is not a Stata question per se, but I hope the solution is something I can do in Stata. I have a dataset consisting of 5 overlapping cohorts of patients. Basically, every 6 mos data is collected on every (diabetes) patient seen at a network of clinics. I have the first 2.5 years (there will be another 2.5). There is a lot of overlap between the 5 cohorts. There are about 10k obs per cohort, and each "snapshot" includes about 80% of patients that are seen in another cohort. I would like to illustrate this somehow, because the amount of overlap is of interest. The figure should also capture the time trend (ie, a Venn diagram wouldn't really do it). I imagine some sort of figure with 5 bars, each with height representing the # obs and divided somehow to represent the number of patients in that cohort that were seen in other cohorts. Ideally - and this is the hard part - the figure would also indicate somehow the number of times patients in that cohort were seen in other cohorts. I'm just fishing here for ideas - I've never seen anything like this, but maybe some of our talented listers have? * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**References**:**st: seeking suggestions on how to illustrate data***From:*Jeph Herrin <junk@spandrel.net>

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