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06-19-2015 01:50 PM

Hi community,

I have question about solution of fixed effects in proc glimmix. I have data with following class variables:

Class | Levels | Values |
---|---|---|

group | 3 | 1 2 3 |

method | 3 | A B C |

and one binary variable "y". I have following code:

PROC glimmix data=tmp1.data1;

class group method;

model y=method / solution;

random int / subject=group;

run;

As the result of "solution" i have following table(here is part of it):

effect | group | estimate |
---|---|---|

intercept | 0.25 | |

method | A | 0.3333 |

method | B | 0.083333 |

method | C | 0 |

My question is: **Why the result of effect method: C is equal 0? Why does it estimate the intercept as the Beta_0+Beta_C, method:B as a Beta_B-Beta_C and so on..?**

**regards**

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Solution

06-19-2015
03:24 PM

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06-19-2015 03:24 PM

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Solution

06-19-2015
03:24 PM

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06-19-2015 03:24 PM