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From |
Jeph Herrin <junk@spandrel.net> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Treating multiple-variables as one |

Date |
Thu, 04 Sep 2008 09:56:18 -0400 |

There are many different ways to "treat drug1 through drug* as one measure", the question is what measure you want that to be. At one point you suggest you are only interested in whether there is a BP medication, at another you mention a "measure of total medications". Clarity on this point, and what kind of rule determines whether drugN (N=1,2,..) is a BP medication would help. For instance, if you only want the # of drugs, and each of these variables drug* is a string, then egen numdrugs= rownonmiss(drug*), strok will generate a variable -numdrugs- which contains the number of non-missing values among all the -drug*- variables (I've assumed here that you don't have any variables with the -drug- stem). hth, Jeph Mike Schmitt wrote:

I'm a very new Stata user (using Stata/SE 10.1) and I'm currently running into an issue where I have multiple measures of patient medications. Varying patients have varying numbers of drugs and the current analysis that I am hoping to do would be based on drug class (i.e., medications for high blood pressure). The problem is, I have multiple variables accounting for medication observation (drug1, drug2, drug3, and so on). So for some patients drug1 may be their blood pressure medication and for other drug3 may be their blood pressure medication and if there was only one high blood pressure drug per person, I could recode into a new variable without an issue. My problem is that some patients are on multiple blood pressure medications. So even if I want to run a simple command, such as tabulating frequencies, I don't know how to (or if it is possible) to treat the drug* variables as one measure of total medications taken by the patients in the study. What I am looking to do is have Stata treat drug1 through drug* as one measure despite the fact that observations were done at the patient level. My final hope would to be correlate all the drug observations with another patient variable (i.e, age) to look at prescribing trends based on demographic factors. If any one has guidance on this issue, I'd appreciate to hear from you. Thanks, Mike Schmitt michael-schmitt@ouhsc.edu * * 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/

* * 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: Treating multiple-variables as one***From:*"Mike Schmitt" <mrschmitt@gmail.com>

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