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From |
"Nick Cox" <n.j.cox@durham.ac.uk> |

To |
<statalist@hsphsun2.harvard.edu> |

Subject |
RE: st: RE: -mkspline- reference |

Date |
Wed, 6 May 2009 09:50:45 +0100 |

Kieran's reference was entirely pertinent. -mkspline, cubic- calculates restricted cubic splines, as from Stata 10. Nick n.j.cox@durham.ac.uk Jacob Wegelin Thanks. Actually, -mkspline- computes *linear* splines. For instance, the following code: . mkspline Age1 44 Age2 = Age . regress Y Age1 Age2 fits a continuous, piecewise linear model of E(Y|Age) for which the slope is permitted to change abruptly at Age=44. Thus I am looking for a reference that specifically explains what algorithm and formulas are implemented in -mkspline-, and perhaps also discusses uses of linear splines and gives examples where they are used to good effect. On Tue, May 5, 2009 at 7:05 PM, Kieran McCaul <Kieran.McCaul@uwa.edu.au> > Frank Harrell's book "Regression Modelling Strategies" has a chapter on > restricted cubic splines. Jacob Wegelin > Can anyone point me to a reference for -mkspline- ? > > I mean, ideally, a published article or book that describes in > software-independent terms (so that statisticians who do not know > Stata will understand) exactly the algorithm and/or formula that the > Stata programmers implemented when they wrote -mkspline-. > > I apologize if the answer is in [R] Stata Reference Manual. I do not > own that book. * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**References**:**st: -mkspline- reference***From:*Jacob Wegelin <jacob.wegelin@gmail.com>

**st: RE: -mkspline- reference***From:*"Kieran McCaul" <Kieran.McCaul@uwa.edu.au>

**Re: st: RE: -mkspline- reference***From:*Jacob Wegelin <jacob.wegelin@gmail.com>

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