[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

Re: st: Knot optimized logistic regression

From   Maarten buis <[email protected]>
To   [email protected]
Subject   Re: st: Knot optimized logistic regression
Date   Fri, 29 Jan 2010 08:43:53 -0800 (PST)

--- On Fri, 29/1/10, Dan MacNulty wrote:
> Thanks very much for sharing your code. There is one added
> twist: my data are clustered within subject, so I'm
> estimating a random-intercept logistic spline regression. I
> assume the addition of a random effect will make knot
> estimation even more difficult, correct?

That is certainly not going to make things easier. How crucial
is it to estimate the location of the knot? There are cases
where the location of the knot/turning point is the key
research question, but in most cases we use splines to represent
a non-linear effect, in which case you are much better of by 
just choosing some reasonable locations.

-- Maarten

Maarten L. Buis
Institut fuer Soziologie
Universitaet Tuebingen
Wilhelmstrasse 36
72074 Tuebingen


*   For searches and help try:

© Copyright 1996–2024 StataCorp LLC   |   Terms of use   |   Privacy   |   Contact us   |   What's new   |   Site index