|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"?|
|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 <email@example.com> wrote:
> 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,
> 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
> 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.
> Daniel J. Nordlund
> Washington State Department of Social and Health Services
> Planning, Performance, and Accountability
> Research and Data Analysis Division
> Olympia, WA 98504-5204