Correct data are crucial for any analysis. E.g. the date of randomization in a clinical trial should never preceed the date of diagnosis, and treatment should always start at the date of randomization or thereafter. You could easily list patients with flaws in the data using: . l patnr ddiag drand if ddiag>drand, nod noo . l patnr drand dsttreat if drand>dsttreat, nod noo However, when the number of variables and the number of data checks are large, the errors in the data of a certain patient may be found anywhere in your output, which will hamper easy admission of the data. To overcome these problems the program QD.ADO was developed. All errors are now neatly grouped by patient; moreover additional comments to facilitate the admission of the data can easily be defined. We will demonstrate the program and show some examples. To get more information about this program you should type "findit qd" in Stata. You will find the relevant ado-files and also a PowerPoint presentation.
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