Parallel groups in bear - CIs [🇷 for BE/BA]
Dear d_labes,
OK, then here's a potential theory:
if we do
on a dataset where we have parallel non-replicated groups (one observation per subject) then R might be trying to actually fit the error sigma2 on the diagonal of V (R matrix), and for ZGZt possibly ending up with a subject sigma2 on the diagonal. Since there is only one observation per subject, I guess this would amount to a V with error-sigma2 plus subject-sigma2 on the diagonal.
Now error-sigma2 plus subject-sigma2 can be estimated, but the individual components cannot (would explain anomalies, at least). We would effectively only be working with a single sigma2.
In this case, I would be inclined to imagine that the error-sigma2 plus subject-sigma2 would equal the residual error from an anova on lm(lnAUC0t~drug) or something like that.
Best regards
EM.
❝ Seems to me as there is something wrong with the random part.
OK, then here's a potential theory:
if we do
lme(lnAUC0t ~ drug, random=~1|subj, data=TotalData, method="REML" )
on a dataset where we have parallel non-replicated groups (one observation per subject) then R might be trying to actually fit the error sigma2 on the diagonal of V (R matrix), and for ZGZt possibly ending up with a subject sigma2 on the diagonal. Since there is only one observation per subject, I guess this would amount to a V with error-sigma2 plus subject-sigma2 on the diagonal.
Now error-sigma2 plus subject-sigma2 can be estimated, but the individual components cannot (would explain anomalies, at least). We would effectively only be working with a single sigma2.
In this case, I would be inclined to imagine that the error-sigma2 plus subject-sigma2 would equal the residual error from an anova on lm(lnAUC0t~drug) or something like that.
Best regards
EM.
—
Pass or fail!
ElMaestro
Pass or fail!
ElMaestro
Complete thread:
- Parallel bears meeting at random in infinity d_labes 2010-04-22 11:43 [🇷 for BE/BA]
- Parallel bears meeting at random in infinity ElMaestro 2010-04-22 12:53
- Parallel groups in bear - CIs d_labes 2010-04-22 14:00
- Parallel groups in bear - CIsElMaestro 2010-04-22 21:47
- Parallel groups in bear - CIs d_labes 2010-04-23 09:09
- Parallel groups in bear - CIs yjlee168 2010-04-25 23:29
- Parallel groups in bear - CIsElMaestro 2010-04-22 21:47
- Parallel groups in bear - CIs d_labes 2010-04-22 14:00
- Parallel bears meeting at random in infinity yjlee168 2010-04-22 23:09
- Modelling Parallel bears d_labes 2010-04-23 09:12
- Modelling Parallel bears yjlee168 2010-04-23 21:14
- Validating vs. WinNonlin... Helmut 2010-04-24 00:28
- Validating vs. WinNonlin... yjlee168 2010-04-24 19:36
- Validating vs. WinNonlin... yjlee168 2010-04-26 00:09
- Validating vs. WinNonlin... Helmut 2010-04-26 01:29
- WNL in replicate BE yjlee168 2010-04-26 08:59
- WNL in replicate BE Helmut 2010-04-26 16:15
- WNL in replicate BE yjlee168 2010-04-26 08:59
- Validating vs. WinNonlin... Helmut 2010-04-26 01:29
- Modelling Parallel bears yjlee168 2010-04-25 19:34
- Modelling Parallel bears ElMaestro 2010-04-25 20:40
- Dataset Helmut 2010-04-25 22:38
- Dataset yjlee168 2010-04-25 22:44
- Dataset Helmut 2010-04-26 01:13
- Dataset yjlee168 2010-04-26 08:16
- NCA → Statistical analysis for parallel study Helmut 2010-04-26 13:12
- NCA → Statistical analysis for parallel study yjlee168 2010-04-26 18:43
- NCA → Statistical analysis for parallel study Helmut 2010-04-26 13:12
- Dataset yjlee168 2010-04-26 08:16
- Dataset Helmut 2010-04-26 01:13
- dilemma yjlee168 2010-04-26 08:41
- Equal variances d_labes 2010-04-26 09:04
- Equal variances yjlee168 2010-04-26 09:22
- GLM = Equal variances d_labes 2010-04-26 13:29
- GLM = Equal variances Helmut 2010-04-26 14:45
- I'm a believer d_labes 2010-04-26 15:58
- I'm a believer Helmut 2010-04-26 16:31
- I'm a believer d_labes 2010-04-26 15:58
- GLM = Equal variances Helmut 2010-04-26 14:45
- GLM = Equal variances d_labes 2010-04-26 13:29
- Equal variances Helmut 2010-04-26 12:55
- gls() for unequal variances? d_labes 2010-04-26 16:36
- gls() for unequal variances? Helmut 2010-04-26 17:00
- Sims Helmut 2010-04-27 01:36
- Sandwich - Simsalabim d_labes 2010-04-28 10:58
- Sandwich - Simsalabim Helmut 2010-04-28 14:19
- parametrization of R function rlnorm martin 2010-05-02 18:22
- Mean of log-normal d_labes 2010-05-03 16:22
- parametrization of R function rlnorm ElMaestro 2013-07-26 21:42
- Martin‽ Helmut 2013-07-28 02:01
- Sandwich - Simsalabim d_labes 2010-04-28 10:58
- gls() for unequal variances? d_labes 2010-04-26 16:36
- Equal variances yjlee168 2010-04-26 09:22
- Dataset yjlee168 2010-04-25 22:44
- Validating vs. WinNonlin... Helmut 2010-04-24 00:28
- Modelling Parallel bears yjlee168 2010-04-23 21:14
- Modelling Parallel bears d_labes 2010-04-23 09:12
- Parallel bears meeting at random in infinity ElMaestro 2010-04-22 12:53