Date:         Sat, 8 Jan 2011 19:14:48 -0500
Reply-To:     Wensui Liu <liuwensui@GMAIL.COM>
Sender:       "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From:         Wensui Liu <liuwensui@GMAIL.COM>
Subject:      Re: markov transition model with binary response
Comments: To: Olivier Van Parys <olivier.vanparys@gmail.com>
In-Reply-To:  <AANLkTikzVaPsgA+GCSxC4vLYL9VFtgr8eWVUDfzhVYrR@mail.gmail.com>
Content-Type: text/plain; charset=ISO-8859-1

what i asked was markov transition model instead of markov switching
model. also, the model is not related to time series. instead, it is
related to longitudinal data.

On Sat, Jan 8, 2011 at 3:53 PM, Olivier Van Parys
<olivier.vanparys@gmail.com> wrote:
> Hey Kevin.
> Appoligies. What I meant off course is "one of the other gurus".
> Happy new year to all the sas listers - gurus and mere mortals like myself
> included.
> I still think the Markov switching model question from Weimu is still of
> interest. I just hope the time series add on is not required to implement
> aggresti.
> On Jan 8, 2011 5:50 PM, "Viel, Kevin" <kviel@sjha.org> wrote:
>>> -----Original Message-----
>>> From: SAS(r) Discussion [mailto:SAS-L@LISTSERV.UGA.EDU] On Behalf Of
>>> Olivier Van Parys
>>> Sent: Saturday, January 08, 2011 12:44 PM
>>> To: SAS-L@LISTSERV.UGA.EDU
>>> Subject: Re: markov transition model with binary response
>>>
>>> Hi Wensui - this is a very interesting question. I was wondering if any
> of
>>> the Guru had gotten back to you on this?
>>
>>
>> Yikes! Olivier Wensui *is* one of the Gurus :)
>>
>>
>> -Kevin
>>
>> Kevin Viel, PhD
>> Senior Research Statistician
>> Patient Safety & Quality
>> International College of Robotic Surgery
>> Saint Joseph's Translational Research Institute
>>
>> Saint Joseph's Hospital
>> 5671 Peachtree Dunwoody Road, NE, Suite 330
>> Atlanta, GA 30342
>>
>> (678) 843-6076: Direct Phone
>> (678) 843-6153: Facsimile
>> (404) 558-1364: Mobile
>> kviel@sjha.org
>>
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>



--
==============================
WenSui Liu
I keep saying that the sexy job
in the next 10 years will be statisticians.
-- HAL VARIAN
==============================