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| From | Johannes Thrul <Thrul@ift.de> |
| To | "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> |
| Subject | st: Resampling and compare full sample with subsamples |
| Date | Mon, 3 Mar 2014 15:58:03 +0000 |
Dear list, I am working on a large survey dataset (12,000 individuals clustered in 600 schools) and want to examine, how non-response/non-participation of schools affects prevalence estimates (e.g., alcohol use). My plan is to reduce the sample of schools randomly and systematically (e.g., only exclude large schools) and compare the resulting estimates from the subsamples with the estimates from the full sample. I thought of an approach like this: Reduce the sample size in 10% increments, draw a number of subsamples at every step and compare the estimates. However, I have 2 questions about how to best approach this in Stata: 1. Drawing subsamples: Should I use a jackknife, bootstrap, or even something entirely different for drawing the subsamples? 2. Testing: How should I go about testing the results from the subsamples against the full sample? Any help is greatly appreciated! Thanks and kind regards, Johannes -- Dr. Johannes Thrul, Dipl.-Psych. Wissenschaftlicher Mitarbeiter / Researcher Präventionsforschung / Prevention Research IFT Institut für Therapieforschung / Parzivalstr. 25, D-80804 München / www.ift.de phone +49 (0) 89 360804 86 / fax +49 (0) 89 360804 69 / e-mail thrul@ift.de IFT Institut für Therapieforschung gem. Gesellschaft mbH / Registergericht München HRB 46395 Geschäftsführung: Prof. Dr. Gerhard Bühringer * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/