## SE of ∆ [General Statistics]

» I think all the confusion comes from that sigma

_{w}, sigma

_{d}, sigma

_{delta}values including their estimates which are used by all the authors cited within this thread in a different meaning.

Quite possible.

» I'm not able to figure out who is who, what is what. Sorry.

F**ing terminology.

» The only thing I'm convinced of is that your formula (2) above is correct.

» If you write the confidence interval for the BE decision as

» PE(T-R) +- SD

_{(d)}*tval(0.95, df)

Exactly.

» The rest of your algebra is straight forward.

» And correct if you ask me .

THX. Now three people agree. I even didn’t trust my rusty algebra and asked Maxima for help:

» BTW: the formula (2) is

**not**the error term in the 2×2×2 crossover.

How would you call it? We use \((3)\) in

`PowerTOST`

’s `BE_CI.R`

line 30:`sqrt(mse*ades$bkni*nc)`

`design = "2x2"`

`ades$bkni`

is `0.5`

and `nc`

is `sum(1/n[1]+1/n[2])`

.If we agree that \(\small{\widehat{\sigma}_\textrm{w}=\sqrt{MSE}}\) * we end up with \((2)\):

` `

For the special case of a two-treatment, two-period crossover study in which \(\small{n_\textrm{1}}\) subjects receive the test formulation in period one and the reference formulation in period two, while \(\small{n_\textrm{2}}\) subjects receive the reference formulation in period one and the reference formulation in period two, the unbiased estimator is given by $$\small{Est.=\frac{\left(\bar{X}_\textrm{T1}+\bar{X}_\textrm{T2} \right)}{2}-\frac{\left(\bar{X}_\textrm{R1}+\bar{X}_\textrm{R2} \right)}{2}}$$ where

` `

\(\small{\bar{X}_\textrm{T1}=}\) the observed mean of the \(\small{n_\textrm{1}}\) observations of the test formulation in period one.

` `

\(\small{\bar{X}_\textrm{T2}=}\) the observed mean of the \(\small{n_\textrm{2}}\) observations of the test formulation in period two.

` `

\(\small{\bar{X}_\textrm{R1}=}\) the observed mean of the \(\small{n_\textrm{2}}\) observations of the reference formulation in period one.

` `

\(\small{\bar{X}_\textrm{R2}=}\) the observed mean of the \(\small{n_\textrm{1}}\) observations of the reference formulation in period two.

The standard error of this estimator is $$\small{SE=s\sqrt{\frac{1}{2}\left (\frac{1}{n_\textrm{1}}+\frac{1}{n_\textrm{2}} \right)}}$$ where […] \(\small{s}\) is the square root of the “error” mean square from the crossover analysis of variance, based on \(\small{\nu}\) degrees of freedom.

- Schuirmann DJ.
*A comparison of the Two One-Sided Tests Procedure and the Power Approach for Assessing the Equivalence of Average Bioavailability.*J Pharmacokin Biopharm. 1987; 15(6): 657–80. doi:10.1007/BF01068419.

*Dif-tor heh smusma*🖖

Helmut Schütz

The quality of responses received is directly proportional to the quality of the question asked. 🚮

Science Quotes

### Complete thread:

- Adjusted indirect comparisons: Algebra Helmut 2020-10-01 16:41 [General Statistics]
- Adjusted indirect comparisons: Algebra d_labes 2020-10-01 17:03
- Adjusted indirect comparisons: Typo Helmut 2020-10-01 17:13

- SE of ∆? Helmut 2020-10-02 14:56
- SE of ∆? or what? d_labes 2020-10-02 18:54
- SE of ∆Helmut 2020-10-02 22:29
- SE of ∆ d_labes 2020-10-04 10:23

- SE of ∆Helmut 2020-10-02 22:29

- SE of ∆? or what? d_labes 2020-10-02 18:54

- Adjusted indirect comparisons: Algebra d_labes 2020-10-01 17:03