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From |
"Martin Weiss" <martin.weiss1@gmx.de> |

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

Subject |
AW: st: simple sum() question |

Date |
Fri, 17 Apr 2009 16:23:28 +0200 |

<> Shezad might also like to note that -egen, sum()- was abandoned for the Stata 9 release (-help whatsnew8to9-), but a look at its code shows that it calls -egen, total()- on the user`s behalf. ************* clear* input patient_id timepoint clinic 1 1 . 1 2 . 1 3 . 2 1 2 2 2 0 3 1 1 3 2 . end bysort patient_id: egen sum_clinic = sum(clinic) bysort patient_id: egen total_clinic = total(clinic) compare sum_clinic total_clinic ************* The -sum()- function lives on when called by -gen- as in my code earlier. It produces a runnning sum, though, in contrast to the (constant) total returned by -egen, total()-... HTH Martin -----Ursprüngliche Nachricht----- Von: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] Im Auftrag von Ulrich Kohler Gesendet: Freitag, 17. April 2009 15:43 An: statalist@hsphsun2.harvard.edu Betreff: Re: st: simple sum() question Shehzad Ali wrote > Here is a quick summary of what I am doing. Each patient (varname: > patient_id) was observed at 4 time points and at each time point we asked > about the clinic visits (varname: clinic) in the last 3 months. The dataset > is in long form (shown below): > > patient_id timepoint clinic > 1 1 0 > 1 2 1 > 1 3 . > 2 1 2 > 2 2 0 > 3 1 1 > 3 2 . > > The line below generates a sum of all clinic visits for each patient: > > bysort patient_id: egen sum_clinic = sum(clinic) > > Now if at one time point, clinic visit is missing (as its seen for patients > 1 and 3), then I want stata to return missing value for the sum. The above > command returns the total of the non-missing observations, ignoring the > missing ones (understandably). But if I tried: > > bysort patient_id: egen sum_clinic = sum(clinic) if clinic!=. > > then it returns missing value for the sum variable only for the time point > which is missing and not for all the time points for that patient. Can > anyone please suggest how to resolve this? Martin already gave a good solution. Here is an alternative starting from first principles: . by patient_id (clinic), sort: gen sum_clinic = sum(clinic) . by patient_id (clinic): /// replace sum_clinic = cond(!mi(clinic[_N]),sum_clinic[_N],.) This uses the fact that observations which are missing on clinic==. are sorted at the end of each observation. > Secondly, whats the best way to collapse the dataset to one observation per > patient? Once I have the sum_clinic for each patient, it would be easier > just to have one observation per patient. by patient_id: keep if _n==1 * * 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/

**Follow-Ups**:**Re: AW: st: simple sum() question***From:*Shehzad Ali <sia500@york.ac.uk>

**References**:**st: simple sum() question***From:*Shehzad Ali <sia500@york.ac.uk>

**st: AW: simple sum() question***From:*"Martin Weiss" <martin.weiss1@gmx.de>

**Re: st: AW: simple sum() question***From:*Shehzad Ali <sia500@york.ac.uk>

**RE: st: AW: simple sum() question***From:*"Nick Cox" <n.j.cox@durham.ac.uk>

**RE: st: AW: simple sum() question***From:*Shehzad Ali <sia500@york.ac.uk>

**Re: st: AW: simple sum() question***From:*"Martin Weiss" <martin.weiss1@gmx.de>

**Re: st: simple sum() question***From:*Shehzad Ali <sia500@york.ac.uk>

**AW: st: simple sum() question***From:*"Martin Weiss" <martin.weiss1@gmx.de>

**Re: st: simple sum() question***From:*Ulrich Kohler <kohler@wzb.eu>

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