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Date:         Wed, 11 Oct 2006 15:00:43 +0000
Reply-To:     Stats Q <statsq@hotmail.co.uk>
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         Stats Q <statsq@hotmail.co.uk>
Subject:      Re: Model selection
Comments: To: biostatistics@terra.es
Content-Type: text/html; format=flowed

<html><div style='background-color:'><P><BR><BR></P> <DIV> <DIV class=RTE> <P>Hi Marta,</P> <P>Thanks for your e-mail. The paper says that a Log-linear model was used. From what you are saying then, I guess I've interpreted things incorrectly then i.e., log-likelihood ratio tests&nbsp;will be part of the output from the BIC analysis. Do you know if is the case that the lower the log-likelihood value, the better the model fits the data? And if so, how low does the value have to be to be considered&nbsp;low? And why would the log-likelihood value need to be reported as well as&nbsp;a&nbsp;BIC value?&nbsp;</P> <P>Thanks. I appreciate the advice.<BR><BR>K S Scot </P></DIV> <DIV></DIV> <DIV></DIV> <DIV></DIV> <DIV></DIV> <BLOCKQUOTE style="PADDING-LEFT: 5px; MARGIN-LEFT: 5px; BORDER-LEFT: #a0c6e5 2px solid; MARGIN-RIGHT: 0px"><FONT style="FONT-SIZE: 11px; FONT-FAMILY: tahoma,sans-serif"> <HR color=#a0c6e5 SIZE=1>

<DIV></DIV>From:&nbsp;&nbsp;<I>Marta García-Granero &lt;biostatistics@terra.es&gt;</I><BR>Reply-To:&nbsp;&nbsp;<I>Marta García-Granero &lt;biostatistics@terra.es&gt;</I><BR>To:&nbsp;&nbsp;<I>SPSSX-L@LISTSERV.UGA.EDU</I><BR>Subject:&nbsp;&nbsp;<I>Re: Model selection</I><BR>Date:&nbsp;&nbsp;<I>Wed, 11 Oct 2006 11:42:39 +0200</I><BR>&gt;Hi K S Scot<BR>&gt;<BR>&gt;KSS&gt; I'm reading a paper that has used log likelihood ratio tests and Bayesian<BR>&gt;KSS&gt; Information Criterion for model selection. I'm not sure whether of either<BR>&gt;KSS&gt; of these were done in SPSS, so am looking for a little advice on the<BR>&gt;KSS&gt; procedure. That is, can anyone direct me to some good resources or texts or<BR>&gt;KSS&gt; provide me with any information about these statistical techniques?<BR>&gt;<BR>&gt;You don't mention the type of model (linear, logistic, Cox,<BR>&gt;Poisson, nominal, ordinal.. regression).<BR>&gt;<BR>&gt;LR tests are part of the standard output of SPSS for any model but<BR>&gt;linear regression. BIC can be obtained for linear regression models<BR>&gt;(subcommand /SELECTION, it must be added thru syntax).<BR>&gt;<BR>&gt;Right now I can't think of a book that covers those topics, I'll check<BR>&gt;the University library and see if I find someone.<BR>&gt;<BR>&gt;<BR>&gt;--<BR>&gt;Regards,<BR>&gt;Dr. Marta García-Granero,PhD&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; mailto:biostatistics@terra.es<BR>&gt;Statistician<BR>&gt;<BR>&gt;---<BR>&gt;"It is unwise to use a statistical procedure whose use one does<BR>&gt;not understand. SPSS syntax guide cannot supply this knowledge, and it<BR>&gt;is certainly no substitute for the basic understanding of statistics<BR>&gt;and statistical thinking that is essential for the wise choice of<BR>&gt;methods and the correct interpretation of their results".<BR>&gt;<BR>&gt;(Adapted from WinPepi manual - I'm sure Joe Abrahmson will not mind)<BR></FONT></BLOCKQUOTE></DIV></div><br clear=all><hr>Fed up with spam in your inbox? <a href="http://g.msn.com/8HMAENUK/2743??PS=47575" target="_top">Find out how to deal with junk e-mail here!</a> </html>


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