Dear Colleagues, apologies for this off-topic posting.
A Ph.D. student here at U of Melb. is trying to find a dataset to use to demonstrate a technique that he is developing. He needs a binary response and ideally a categorical predictor, although the latter can of course be induced from a continuous predictor. The data should also have missing values (ideally, NMAR, not missing at random) in the response and in the predictor. Of course we could generate such a dataset but it would be preferable to use a dataset in which handling the missingness is an integral part of the analysis. The data set could be in any discipline, ideally already published. If you have any suggestions, please respond directly to Ken at Kheang Ken Lim <k.li...@pgrad.unimelb.edu.au> Thanks! Cheers Andrew -- Andrew Robinson Program Manager, ACERA Department of Mathematics and Statistics Tel: +61-3-8344-6410 University of Melbourne, VIC 3010 Australia (prefer email) http://www.ms.unimelb.edu.au/~andrewpr Fax: +61-3-8344-4599 http://www.acera.unimelb.edu.au/ ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
