two groups (logistics) [General Statistics]
Hi all,
Not exactly sure I know the meaning of the question, but I am sure I need to improve my understanding of the need for the group effect when groups are separated.
What do we test for specifically, and what do we conclude if the resulting p-value is low?
I have not read any papers on this issue. I would think that group is a between-factor, so the anova residual will not depend on whether or not group is added as a factor in the lm. In fact I would also be inclined to think that group*treatment would be a potentially relevant test. What would you experts think of group or group*treatment coming out significant? Nothing? Something?
We could in theory get LSMeans for Treatment T and R in both groups, and if group*treatment is significant it implies that T/R may differ between the two groups (which could suggest they may differ in time). This is a cosmic mindf&#ker to me. You experts out there got a qualified view on this?
Many thanks and best regards,
EM.
❝ I would like to know in this situation which one you will select between including group effect and single analysis, because I would like to include group effect in the model. Neither, I haven't seen a single study in Thailand where a group effect was included in the model. So the way to do the study smoothly I ready to do, time wasting to argue with Thai FDA.
Not exactly sure I know the meaning of the question, but I am sure I need to improve my understanding of the need for the group effect when groups are separated.
What do we test for specifically, and what do we conclude if the resulting p-value is low?
I have not read any papers on this issue. I would think that group is a between-factor, so the anova residual will not depend on whether or not group is added as a factor in the lm. In fact I would also be inclined to think that group*treatment would be a potentially relevant test. What would you experts think of group or group*treatment coming out significant? Nothing? Something?
We could in theory get LSMeans for Treatment T and R in both groups, and if group*treatment is significant it implies that T/R may differ between the two groups (which could suggest they may differ in time). This is a cosmic mindf&#ker to me. You experts out there got a qualified view on this?
Many thanks and best regards,
EM.
Complete thread:
- large sample size boonchai_l 2010-03-11 08:04
- two groups (logistics) Helmut 2010-03-11 12:36
- logistical limitations = opportunities? ElMaestro 2010-03-11 21:09
- logistical limitations = opportunities? Dr_Dan 2010-03-12 09:04
- Sequential design = opportunity (IMHO) Helmut 2010-03-12 12:21
- Sequential design = opportunity (IMHO) Dr_Dan 2010-03-12 13:04
- Tasseography Helmut 2010-03-12 15:01
- sequential replicate design Dr_Dan 2010-03-15 11:21
- sequential replicate design (reference?) Helmut 2010-03-15 15:37
- sequential replicate design Dr_Dan 2010-03-15 11:21
- Tasseography Helmut 2010-03-12 15:01
- Sequential design = opportunity (IMHO) Dr_Dan 2010-03-12 13:04
- Sequential design = opportunity (IMHO) Helmut 2010-03-12 12:21
- logistical limitations = opportunities? Dr_Dan 2010-03-12 09:04
- two groups (logistics) boonchai_l 2010-03-16 12:25
- two groups (logistics)ElMaestro 2010-03-18 18:21
- logistical limitations = opportunities? ElMaestro 2010-03-11 21:09
- two groups (logistics) Helmut 2010-03-11 12:36
