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RE: Cox regression
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<TITLE>RE: Cox regression</TITLE>
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<P><FONT SIZE=2>Cox regression is a proportional hazards model using time. So, the measured factors are time specific. It therefore depends on your numerator (the change in effect, variation) per unit time. There are books and books written on this, whole semesters of courses. It is very useful if one is looking at time-related data, but there are intricacies (as in all stats) that one must understand. Hope that helps.</FONT></P>
<P><FONT SIZE=2>Vincent J. Palusci, MD MS FAAP</FONT>
<BR><FONT SIZE=2>DeVos Children's Hospital</FONT>
<BR><FONT SIZE=2>Associate Professor, MSU Pediatrics & Human Development</FONT>
<BR><FONT SIZE=2>100 Michigan Street, MC-178</FONT>
<BR><FONT SIZE=2>Grand Rapids, MI 49503</FONT>
<BR><FONT SIZE=2>616-391-1242</FONT>
<BR><FONT SIZE=2>fax: 616-391-3206</FONT>
<BR><FONT SIZE=2>vincent.palusci@spectrum-health.org </FONT>
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<P><FONT SIZE=2>-----Original Message-----</FONT>
<BR><FONT SIZE=2>From: bill higgins [<A HREF="mailto:bill_higginsus@yahoo.com";>mailto:bill_higginsus@yahoo.com</A>]</FONT>
<BR><FONT SIZE=2>Sent: Tuesday, December 16, 2003 12:08 PM</FONT>
<BR><FONT SIZE=2>To: Child Maltreatment Researchers</FONT>
<BR><FONT SIZE=2>Subject: cox regression</FONT>
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<P><FONT SIZE=2>I am reading an article that uses cox regression to</FONT>
<BR><FONT SIZE=2>understand time to adoption. Can someone help me</FONT>
<BR><FONT SIZE=2>understand the relative size of the significant</FONT>
<BR><FONT SIZE=2>predictors? How do we know if these are big effects</FONT>
<BR><FONT SIZE=2>or small effects? Thanks.</FONT>
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<P><FONT SIZE=2>Bill</FONT>
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