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From | "Harsha" <harshabl.76@gmail.com> |
To | "'Carlo Lazzaro'" <carlo.lazzaro@tin.it>, <statalist@hsphsun2.harvard.edu> |
Subject | st: RE: Wilcoxon signed-rank test for clustered data - flag: Stata 9/2 SE |
Date | Tue, 5 Oct 2010 14:30:39 +0530 |
Thanks Carlo. I will look into Roger Newson's webpage. I will also run the bootstrap and get back if I have some queries. Harsha -----Original Message----- From: Carlo Lazzaro [mailto:carlo.lazzaro@tin.it] Sent: 05 October 2010 13:02 To: statalist@hsphsun2.harvard.edu Cc: 'Harsha' Subject: R: Wilcoxon signed-rank test for clustered data - flag: Stata 9/2 SE Hasha may want to consider a bootstrap procedure (that allows for clusters)like in the following examples: --------- code begins----------------------------------- drop _all set obs 10 input id time id time 1 0 1 1 2 0 2 1 3 0 3 1 4 0 4 1 5 0 5 1 g acu_sight=2*uniform() if time==0 replace acu_sight=5*uniform() if time==1 qui sum acu_sight, d bootstrap r(p50), reps(1000) cluster(id) : qui sum acu_sight, d --------- code ends------------------------------------- In your query, the issue with clustering seems to be double, since you have two operated eyes for each principal sample unit (ie: patient) and two different points in time for measurement (before and after ocular surgery). Please note that the previous example takes into account only one source of clustering, that is visual acuity before and after the surgery. Last but absolutely not least, I would strongly recommend you to take a look at Roger Newson's webpage (http://www.imperial.ac.uk/nhli/r.newson/). Roger has addressed a lot of his research activity in creating Stata user-written programmes, some of those focusing on non parametric median statistics. HTH and Kind Regards, Carlo -----Messaggio originale----- Da: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] Per conto di Harsha Inviato: martedì 5 ottobre 2010 6.46 A: statalist@hsphsun2.harvard.edu Oggetto: st: Wilcoxon signed-rank test for clustered data Dear All, I have a data comparing a few parameters in a group of patients before and after a particular surgery. These surgeries are done on both eyes of a few patients resulting in a correlated data. A few variables which I am trying to compare are non-parametric. I am trying to apply Wilcoxon signed rank test but am faced with the problem of the observations being not independent between the 2 eyes of the patients. There is a program on SAS by Rosner's group to use Wilcoxon for clustered data. Is there something similar in stata? Is there any other ways to compare the medians between groups in correlated data? Kindly suggest. Harsha * * 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/