Relationship between calculated 90% CI and sign. treatment effect in BE [General Statistics]
Hi David,
Here is the code used for my analysis.
I got the values for CI is 77.27-98.78 (doesn't contain 100%) and p-value of treatment effect is 0.0709 (not significant at the 5% level).
My observation is that when removing the
My question is that the terms which are used in the model are sufficient or not...? and if it is correct, why p-value of treatment effect is not significant...?
Thanks,
GM.
❝ The problem might be on the estimate statement. If the 90% CI is significantly different from 1, then the p-value for "formulation" should also be significant at the 10% significance level. Maybe you're using a different denominator than expected...
❝
❝ It would be easier if you post the full glm code.
Here is the code used for my analysis.
Proc GLM data=logdata;
class Sequence Subject Period Form Cohort;
model Log(Param) = Sequence Period Form Cohort Form*Cohort Subject(Sequence*Cohort)/ SS3;
output out=outlier rstudent=student;
test h=Sequence e=Subject(Sequence*Cohort) / htype=3 etype=3;
lsmeans Form / pdiff CL alpha=0.10;
estimate 'A VS B' Form 1 -1;
run;
I got the values for CI is 77.27-98.78 (doesn't contain 100%) and p-value of treatment effect is 0.0709 (not significant at the 5% level).
My observation is that when removing the
Form*Cohort
term from the model, treatment effect is significant @5% level of significance.My question is that the terms which are used in the model are sufficient or not...? and if it is correct, why p-value of treatment effect is not significant...?

Thanks,
GM.
—
Best Regards,
GM
Best Regards,
GM
Complete thread:
- Relationship between calculated 90% CI and sign. treatment effect in BE GM 2017-03-27 19:40 [General Statistics]
- 1–2α CI and TOST at α 0.05 Helmut 2017-03-27 23:47
- 1–2α CI and TOST at α 0.05 GM 2017-03-28 06:50
- 1–2α CI and TOST at α 0.05 DavidManteigas 2017-03-28 11:48
- 1–2α CI and TOST at α 0.05 ElMaestro 2017-03-28 13:12
- alpha TOST is not alpha 2-sided d_labes 2017-03-28 15:12
- Interesting! ElMaestro 2017-03-28 21:10
- Google has the answer d_labes 2017-03-29 08:20
- Interesting! DavidManteigas 2017-03-29 11:16
- Interesting! ElMaestro 2017-03-29 11:20
- Interesting! DavidManteigas 2017-03-29 12:28
- 95% CI for a test on difference d_labes 2017-03-29 14:24
- Interesting! GM 2017-03-29 20:06
- Interesting! nobody 2017-03-30 08:24
- Interesting! DavidManteigas 2017-03-29 12:28
- Interesting! ElMaestro 2017-03-29 11:20
- Interesting! ElMaestro 2017-03-28 21:10
- alpha TOST is not alpha 2-sided d_labes 2017-03-28 15:12
- Relationship between calculated 90% CI and sign. treatment effect in BEGM 2017-03-29 12:11
- Relationship between calculated 90% CI and sign. treatment effect in BE DavidManteigas 2017-03-29 12:30
- 1–2α CI and TOST at α 0.05 ElMaestro 2017-03-28 13:12
- 1–2α CI and TOST at α 0.05 DavidManteigas 2017-03-28 11:48
- 1–2α CI and TOST at α 0.05 GM 2017-03-28 06:50
- 1–2α CI and TOST at α 0.05 Helmut 2017-03-27 23:47