least square mean calculation [General Statistics]
Dear Helmut,
Thank you very much for immediate response
I did calculation for least square mean of test and reference product in a 2X2 cross over study (TR Vs RT), but i am getting correct values for Cmax and AUCt only, but not for AUCinf. Please check with the following data if possible...
Calculation according to mine is AUCt-LSM 8.919 (T), 8.927 (R)
Calculation according to SAS default programme for AUCt-LSM 8.919 (T), 8.927(R)
But for AUCinf my results are-8.929 (R) and 8.974 (T)
But SAS programme results are-8.942 (R) and 8.936 (T)
I am not getting why these are different
excuse me for such a lengthy data....
Please clarify me that a balanced design is nothing but number of sub facing TR is equal to number of sub facing RT right?
what is the formula for calculation of standard error of difference?
I am getting these difference bcz of excel, Please clarify SAS and Excel results are different to some extent right? and please provide me calculation upto LSM with one of our's members formula
(mean_seq1+mean_seq2)/2 for balanced design or (mean_seq1*n1)+(mean_seq2*n2)}/(n1+n2) for unbalanced design (I thought that second formula is best because our data is unbalanced). But I am getting result only with first formula not with second. Please clarify this.
Thank you very much for immediate response
I did calculation for least square mean of test and reference product in a 2X2 cross over study (TR Vs RT), but i am getting correct values for Cmax and AUCt only, but not for AUCinf. Please check with the following data if possible...
SubID Period Treatment Sequence AUCt AUCinf
XR03 1 R RT 7833 7926.2
XR04 1 R RT 7622.2 7730.3
XR07 1 R RT 6477.7 6546.2
XR10 1 R RT 10528.1 10682.1
XR11 1 R RT 10968.6 11269.8
XR14 1 R RT 8472.2 8535.6
XR16 1 R RT 11593.9 11786.0
XR18 1 R RT 7353.6 7473.4
XR20 1 R RT 6090.6 6137.7
XR03 2 T RT 6484.3 6601.6
XR04 2 T RT 8587.1 8739.8
XR07 2 T RT 4201.9 4262.8
XR10 2 T RT 9566.9 9741.1
XR11 2 T RT 12203.3 12404.6
XR14 2 T RT 8495.7 8575.0
XR16 2 T RT 10392.5 10554.7
XR18 2 T RT 7859.7 8021.7
XR20 2 T RT 7463.3 7549.4
XR01 2 R TR 9982.6 10101.9
XR02 2 R TR 6774 6879.6
XR05 2 R TR 6065.1 6247.4
XR09 2 R TR 7789.5 7913.9
XR13 2 R TR 6253.9 6390.1
XR15 2 R TR 5965.3 6056.8
XR17 2 R TR 5593.2 5682.8
XR01 1 T TR 9902.2 10044.0
XR02 1 T TR 6684 6906.9
XR05 1 T TR 5813.7 5903.5
XR09 1 T TR 7975 8116.1
XR13 1 T TR 6925 7026.4
XR15 1 T TR 5995.3 6075.5
XR17 1 T TR 6094.7 6191.3
Calculation according to mine is AUCt-LSM 8.919 (T), 8.927 (R)
Calculation according to SAS default programme for AUCt-LSM 8.919 (T), 8.927(R)
But for AUCinf my results are-8.929 (R) and 8.974 (T)
But SAS programme results are-8.942 (R) and 8.936 (T)
I am not getting why these are different

excuse me for such a lengthy data....
Please clarify me that a balanced design is nothing but number of sub facing TR is equal to number of sub facing RT right?
what is the formula for calculation of standard error of difference?
I am getting these difference bcz of excel, Please clarify SAS and Excel results are different to some extent right? and please provide me calculation upto LSM with one of our's members formula
(mean_seq1+mean_seq2)/2 for balanced design or (mean_seq1*n1)+(mean_seq2*n2)}/(n1+n2) for unbalanced design (I thought that second formula is best because our data is unbalanced). But I am getting result only with first formula not with second. Please clarify this.
—
Regards,
Bharat
Regards,
Bharat
Complete thread:
- least square mean calculation bvoggu 2010-08-18 07:49 [General Statistics]
- least square mean calculation Helmut 2010-08-18 14:15
- least square mean calculationbvoggu 2010-08-19 09:24
- SE: SAS / PHX-WNL / manual Helmut 2010-08-19 12:36
- Standard error d_labes 2010-08-19 16:18
- Standard error Helmut 2010-08-19 16:33
- Standard error bvoggu 2010-08-20 10:51
- Not with EXCEL d_labes 2010-08-20 14:57
- Standard error d_labes 2010-08-19 16:18
- SE: SAS / PHX-WNL / manual Helmut 2010-08-19 12:36
- least square mean calculationbvoggu 2010-08-19 09:24
- least square mean calculation ElMaestro 2010-08-18 14:46
- least square mean calculation bvoggu 2010-08-20 07:41
- LSMeans ElMaestro 2010-08-20 09:34
- least square mean calculation bvoggu 2010-08-20 07:41
- least square mean calculation Helmut 2010-08-18 14:15