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

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

Subject |
st: RE: S-Curve/logistic curve regression |

Date |
Wed, 1 Apr 2009 18:00:19 +0100 |

Some people would use -nl- here, but assuming that you can scale values to values / maximum, you can still use a logit link, or linear regression on a logit transformed variable. The only obvious problem is if the bounds are attained, because logit(0) and logit(1) are indeterminate. There are some related comments in SJ-8-1 gr0032 . . . . . . . Stata tip 59: Plotting on any transformed scale . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . N. J. Cox Q1/08 SJ 8(1):142--145 (no commands) tip on how to graph data on a transformed scale which explains how to plot continuous responses on a logit scale. Nick n.j.cox@durham.ac.uk Sven Wiese I have a twodimensional dataset of two continious variables and want to fit a regression to the data, but I want the outcome to be an s-Curve (or logistic curve). I think it might be like fitting a polynomial to the data, but as mentioned I want to fit an s-curve, which can be expressed by the exponential function. I am aware of the logistic regression, the difference is, that my dependant variable is not binary. * * 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/

**Follow-Ups**:**Re: st: RE: S-Curve/logistic curve regression***From:*Maarten buis <maartenbuis@yahoo.co.uk>

**Re: st: RE: S-Curve/logistic curve regression***From:*Bryan Sayer <bsayer@chrr.osu.edu>

**References**:**st: S-Curve/logistic curve regression***From:*Sven Wiese <SvenWiese@web.de>

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