another book for linear model [Software]
Dear Helmut and Elmaestro,
As I read from Faraway JJ's textbook (Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models. Julian J. Faraway, Chapman & Hall/CRC, 2006 by Taylor & Francis Group, LLC., ISBN 1-58488-424-X., pp. 170-4), it said (p.171) '...The estimates (ANOVA estimator from glm()) can take negative values... This is rather embarrassing since variances cannot be negative. Various fixes have been proposed, but these all take away from the original simplicity of the estimation method...' there are some discussions about this in the text, including using the linear mixed effect model (lme or lmer). Will lme/lmer be the answer for this if we are using a wrong model when doing a 2x2x2 BE study for this situation only?
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[edited] The problem of negative variance components seems commonly seen with ANOVA. When googling the website, we can find a lots about this information from user forums of some other big stat apps, such as SAS, SPSS and MINITAB. Here is one of them from MINITAB.
As I read from Faraway JJ's textbook (Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models. Julian J. Faraway, Chapman & Hall/CRC, 2006 by Taylor & Francis Group, LLC., ISBN 1-58488-424-X., pp. 170-4), it said (p.171) '...The estimates (ANOVA estimator from glm()) can take negative values... This is rather embarrassing since variances cannot be negative. Various fixes have been proposed, but these all take away from the original simplicity of the estimation method...' there are some discussions about this in the text, including using the linear mixed effect model (lme or lmer). Will lme/lmer be the answer for this if we are using a wrong model when doing a 2x2x2 BE study for this situation only?
---
[edited] The problem of negative variance components seems commonly seen with ANOVA. When googling the website, we can find a lots about this information from user forums of some other big stat apps, such as SAS, SPSS and MINITAB. Here is one of them from MINITAB.
❝ [...] I’m not sure whether I shall invest in a book I likely will not understand anyway.
—
All the best,
-- Yung-jin Lee
bear v2.9.2:- created by Hsin-ya Lee & Yung-jin Lee
Kaohsiung, Taiwan https://www.pkpd168.com/bear
Download link (updated) -> here
All the best,
-- Yung-jin Lee
bear v2.9.2:- created by Hsin-ya Lee & Yung-jin Lee
Kaohsiung, Taiwan https://www.pkpd168.com/bear
Download link (updated) -> here
Complete thread:
- How to calculate intersubject variability in PHX WinNonlin zan 2014-01-29 23:58 [Software]
- Negative variance component Helmut 2014-01-30 01:16
- Negative variance component zan 2014-01-30 18:11
- Negative variance component zan 2014-01-31 00:16
- Negative variance component ElMaestro 2014-01-31 08:20
- Negative variance component yjlee168 2014-01-31 10:26
- Example data set Helmut 2014-02-01 16:03
- Example data set yjlee168 2014-02-01 17:40
- PHX build 6.3.0.395 / 6.4.0.511 Helmut 2014-02-02 02:04
- PHX build 6.3.0.395 / 6.4.0.511 yjlee168 2014-02-02 07:54
- PHX build 6.3.0.395 / 6.4.0.511 Helmut 2014-02-02 02:04
- Example data set yjlee168 2014-02-01 17:40
- Example data set Helmut 2014-02-01 16:03
- Negative variance component ElMaestro 2014-02-01 16:31
- Negative variance component yjlee168 2014-02-01 17:47
- Just thinking loud ElMaestro 2014-02-01 19:02
- All models are wrong… Helmut 2014-02-02 02:31
- another book for linear modelyjlee168 2014-02-02 08:07
- All models are wrong… Helmut 2014-02-02 02:31
- Just thinking loud ElMaestro 2014-02-01 19:02
- References Helmut 2014-02-02 02:19
- References ElMaestro 2014-02-02 09:56
- Negative variance component yjlee168 2014-02-01 17:47
- Negative variance component – Chow/Liu d_labes 2014-02-03 09:02
- Negative variance component – Chow/Liu ElMaestro 2014-02-03 10:22
- Variance components – Proc mixed d_labes 2014-02-03 11:58
- Variance components – Proc mixed ElMaestro 2014-02-03 12:58
- Variance components – Proc mixed 90% CIs d_labes 2014-02-03 13:16
- Variance components – Proc mixed Helmut 2014-02-03 14:14
- FDA code for non-replicate crossover? d_labes 2014-02-03 15:54
- Proc GLM rulez Helmut 2014-02-03 16:16
- Variance components – Proc mixed yjlee168 2014-02-03 20:43
- NOBOUND Helmut 2014-02-03 22:08
- FDA code for non-replicate crossover? d_labes 2014-02-03 15:54
- Variance components – Proc mixed ElMaestro 2014-02-03 12:58
- Variance components – Proc mixed d_labes 2014-02-03 11:58
- lm() or lme() for 2x2x2 study design? yjlee168 2014-02-03 20:22
- lm() or lme() for 2x2x2 study design? ElMaestro 2014-02-03 22:11
- lm() or lme() for 2x2x2 study design? yjlee168 2014-02-04 13:09
- bear for 2x2x2 study with negative variance components yjlee168 2014-02-05 19:12
- lm() or lme() for 2x2x2 study design? yjlee168 2014-02-04 13:09
- lm() or lme() for 2x2x2 study design? ElMaestro 2014-02-03 22:11
- Negative variance component – Chow/Liu ElMaestro 2014-02-03 10:22
- Negative variance component Helmut 2014-01-30 01:16