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Date:         Tue, 17 Jan 2012 13:31:53 -0800
Reply-To:     Fareeza Khurshed <fkhurshed@GMAIL.COM>
Sender:       "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From:         Fareeza Khurshed <fkhurshed@GMAIL.COM>
Subject:      Re: What statistical method/proc would work for this "trend"?
Comments: To: Irin later <irinfigvam@yahoo.com>
In-Reply-To:  <1326835639.88786.YahooMailNeo@web39405.mail.mud.yahoo.com>
Content-Type: text/plain; charset=ISO-8859-1

If your reasoning is less leave from work consider the amount of leave required after the procedure. If its 5 days any 5 day interval containing the weekend would be the same, so it might not be just Friday that has the higher caseload.

On Tue, Jan 17, 2012 at 1:27 PM, Irin later <irinfigvam@yahoo.com> wrote:

> > > Dan, > > You are right. It would be very much prefered to be served by working with > a local statistician but unfortunately this is not a case :( > > The point is that it is about a scheduled surgery upon patient request > (perhaps without any medical nessecity).It looks like more and more > patients try to schedule this kind of surgery on Friday night. Perhaps > because of the social reasons(short medical leave, career concern and etc. > rather than medical ones). > This is an only reason why I named it "trend". > > As I mentioned in my responce to Fareeza, answering the question if > Fridays is more crowded in comparison with other days would explain the > answer which I got for the previous result. Hopefully I told you more about > data and actual research. > > Thank you in advance, > > Irin > > From: "Nordlund, Dan (DSHS/RDA)" <NordlDJ@DSHS.WA.GOV> > To: SAS-L@LISTSERV.UGA.EDU > Sent: Tuesday, January 17, 2012 2:13 PM > Subject: Re: What statistical method/proc would work for this "trend"? > > > -----Original Message----- > > From: SAS(r) Discussion [mailto:SAS-L@LISTSERV.UGA.EDU] On Behalf Of > > Irin later > > Sent: Tuesday, January 17, 2012 10:52 AM > > To: SAS-L@LISTSERV.UGA.EDU > > Subject: What statistical method/proc would work for this "trend"? > > > > I am working on analysis based on hypothesis that certain medical > > surgery is mostly scheduled > > on fridays nights rather than on others week days. > > TheĀ extract for year 2011 was 1300 unique medical claims for the > > certain surgery. > > Other years extracts are comparable in terms of # of claims for years > > 2008, 2009, 2010. > > Not having an experience , I am really confused.... > > > > How can I do it? Could you please give me a hand? > > I actually wonder: > > > > 1. How to extract fridays nights? > > 2. Do I need randomly select a month for the certain year? > > 3. what would be an appropriate kind of statistical method and > > procedure for this scenario? > > > > Thank you in advance, > > > > Irin > > Irin, > > To determine day of week from surgery date you can use the weekday() > function. As for your other questions, I would need to know a lot more > about your data and the actual research questions. You would be best > served by working with a local statistician to determine an appropriate > research design. Once you have that the list could certainly help with > implementing that design in SAS. That is just my two-cents worth. Others > may have a different viewpoint. > > > Dan > > Daniel J. Nordlund > Washington State Department of Social and Health Services > Planning, Performance, and Accountability > Research and Data Analysis Division > Olympia, WA 98504-5204 >


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