Displaying 2 results from an estimated 2 matches for "xzbeta1".
2011 Nov 14
0
Enquiry about 2nd-order interactions survival analysis
David's answers were correct. You are looking deep into the code when
there is no reason to to so.
1. h(t|(X=x,Z=z)) = exp(Beta0 + XZBeta1)
Most statisticians will tell you that this is an unwise model. The
reason is that if you replace X with "X+1" the fit changes, which is
almost never desirable. What if someone coded your dummy variable as
1/0 instead of 0/1 -- wouldn't you want to get the same fit
Therefore the...
2011 Nov 12
2
Second-order effect in Parametric Survival Analysis
Hi experts,
http://r.789695.n4.nabble.com/file/n4034318/Parametric_survival_analysis_2nd-order_efffect.JPG
Parametric_survival_analysis_2nd-order_efffect.JPG
As we know a normal survival regression is the equation (1)
Well, I'ld like to modify it to be 2nd-order interaction model as shown in
equation(2)
Question:
Assume a and z is two covariates.
x = dummy variable (1 or 0)
z = factors