CI for Transformed data Unbalanced study [General Statistics]
Dear USFDA_EMEA!
The calculation is not different from a balanced study.
I’ll give you an example for the reference:
Calculate the (arithmetic) mean of log-transformed values in sequence 1 (if seq 1 = RT from period 1) as
Calculate the (arithmetic) mean of log-transformed values in sequence 2 (if seq 2 = TR from period 2) as
LSM for the reference is the arithmetic mean of
The difference
A better estimate of the true difference is MVUE (the Minimum Variance Unbiased Estimator), however, its calculation is a little bit tricky (involves the Γ-distribution).
For details see Chow & Liu’s book.
❝ ❝ Let's call Xt
the LSM of the test, and Xr
the LSM of the reference (log-scale).
❝
❝ Can you help me with the formula for LSM (I wish to do a manual calculation, for verification purposes) and a brief explaination about why this method is used for unbalanced study?
The calculation is not different from a balanced study.
I’ll give you an example for the reference:
Calculate the (arithmetic) mean of log-transformed values in sequence 1 (if seq 1 = RT from period 1) as
Xr1 = sum ( Xr1 … n1 ) / n1
Calculate the (arithmetic) mean of log-transformed values in sequence 2 (if seq 2 = TR from period 2) as
Xr2 = sum ( Xr1 … n2 ) / n2
LSM for the reference is the arithmetic mean of
Xr1
and Xr2
Xr = ( Xr1 + Xr2 ) / 2 )
The difference
Xt – Xr
is also called MLE (the Maximum Likelihood Estimator) of the true difference Mu(t) – Mu(r)
, which is slightly biased according to the degree of ‘unbalancedness’.A better estimate of the true difference is MVUE (the Minimum Variance Unbiased Estimator), however, its calculation is a little bit tricky (involves the Γ-distribution).
For details see Chow & Liu’s book.
—
Dif-tor heh smusma 🖖🏼 Довге життя Україна!![[image]](https://static.bebac.at/pics/Blue_and_yellow_ribbon_UA.png)
Helmut Schütz
![[image]](https://static.bebac.at/img/CC by.png)
The quality of responses received is directly proportional to the quality of the question asked. 🚮
Science Quotes
Dif-tor heh smusma 🖖🏼 Довге життя Україна!
![[image]](https://static.bebac.at/pics/Blue_and_yellow_ribbon_UA.png)
Helmut Schütz
![[image]](https://static.bebac.at/img/CC by.png)
The quality of responses received is directly proportional to the quality of the question asked. 🚮
Science Quotes
Complete thread:
- Confidence Interval for Transformed data Unbalanced study usfda_emea 2007-03-06 14:39 [General Statistics]
- CI for Transformed data Unbalanced study Helmut 2007-03-06 16:46
- CI for Transformed data Unbalanced study drshiv 2007-03-06 18:49
- CI for Transformed data Unbalanced study usfda_emea 2007-03-07 06:21
- CI for Transformed data Unbalanced studyHelmut 2007-03-07 12:04
- CI for Transformed data Unbalanced study usfda_emea 2007-03-07 12:34
- CI for Transformed data Unbalanced study Ohlbe 2014-07-30 15:04
- LSM limbo Helmut 2014-07-31 02:54
- LSM limbo Ohlbe 2014-07-31 09:47
- 90% CI limbo VStus 2017-03-01 14:07
- RSABE ⇒ ABEL Helmut 2017-03-03 13:34
- RSABE ⇒ ABEL VStus 2017-03-03 15:31
- s2wR != mse, FDA != EMA d_labes 2017-03-04 14:49
- s2wR != mse, FDA != EMA ElMaestro 2017-03-04 19:13
- s2wR from ISC in FDA approach d_labes 2017-03-05 12:18
- s2wR from ISC in FDA approach ElMaestro 2017-03-05 13:50
- s2wR from ISC in FDA approach d_labes 2017-03-05 12:18
- s2wR != mse, FDA != EMA VStus 2017-03-04 21:41
- s2wR != mse, FDA != EMA Helmut 2017-03-06 13:40
- s2wR != mse, FDA != EMA ElMaestro 2017-03-04 19:13
- s2wR != mse, FDA != EMA d_labes 2017-03-04 14:49
- RSABE ⇒ ABEL VStus 2017-03-03 15:31
- RSABE ⇒ ABEL Helmut 2017-03-03 13:34
- LSM limbo Helmut 2014-07-31 02:54
- CI for Transformed data Unbalanced studyHelmut 2007-03-07 12:04
- CI for Transformed data Unbalanced study Helmut 2007-03-06 16:46