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Dear Patel,
» Is there any role of G-matrix in the calculation of LSM?
Even with one sample modified the model coefficients are changed. G matrix specifies variance-covariance matrix G and it is used to specify subject-specific effects.
With model changed covariance matrix is also changed, thus, you see the difference. Since MIXED statement uses some algos to achieve convergence, some changes in points could be crucial even if they are insignificant for reviewer.
» Is there any role of G-matrix in the calculation of LSM?
Even with one sample modified the model coefficients are changed. G matrix specifies variance-covariance matrix G and it is used to specify subject-specific effects.
With model changed covariance matrix is also changed, thus, you see the difference. Since MIXED statement uses some algos to achieve convergence, some changes in points could be crucial even if they are insignificant for reviewer.
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Kind regards,
Mittyri
Kind regards,
Mittyri
Complete thread:
- Least square mean calculation for the fully replicate design Jaimik Patel 2019-10-31 11:19
![[Mix]](https://static.bebac.at/img/mix.png "open in Mix view")
- Very, very strange! Helmut 2019-10-31 14:36
- Very, very strange! Shuanghe 2019-10-31 19:43
- Very, very strange! Helmut 2019-10-31 19:50
- Very, very strange! Jaimik Patel 2019-11-02 12:26
- G matrixmittyri 2019-11-03 01:38
- Very, very strange! Shuanghe 2019-10-31 19:43
- Inner workings of REML ElMaestro 2019-10-31 19:48
- Even in ANOVA… Helmut 2019-10-31 19:53
- Even in 2x2... zizou 2019-11-01 21:05
- trying to understand emmeans mittyri 2019-11-02 02:26
- Even in 2x2... zizou 2019-11-01 21:05
- Even in ANOVA… Helmut 2019-10-31 19:53
- Least square mean calculation for the fully replicate design PharmCat 2019-11-03 00:46
- Very, very strange! Helmut 2019-10-31 14:36
Ing. Helmut Schütz