## PowerTOST: sampleN.NTIDFDA() [Power / Sample Size]

» By using the only power and sample size how we can calculate the N for NTI molecules. what about the other parameters.

As with any other reference-scaling method we have to use simulations. The conditions for BE of NTIDs are summarized in this post and the statistical method is given in the FDA’s warfarin-guidance.

Sample size estimations are implemented in function

`sampleN.NTIDFDA()`

of the R-package `PowerTOST`

since 2013. Example: CV

_{wT}= CV

_{wR}= 10%, expected T/R-ratio 97.5%, desired (target) power 80%.

`library(PowerTOST)`

sampleN.NTIDFDA(CV = 0.1)

`+++++++++++ FDA method for NTIDs ++++++++++++`

Sample size estimation

---------------------------------------------

Study design: 2x2x4

log-transformed data (multiplicative model)

1e+05 studies for each step simulated.

alpha = 0.05, target power = 0.8

CVw(T) = 0.1, CVw(R) = 0.1

True ratio = 0.975

ABE limits = 0.8 ... 1.25

Implied scABEL = 0.9002 ... 1.1108

Regulatory settings: FDA

- Regulatory const. = 1.053605

- 'CVcap' = 0.2142

Sample size search

n power

14 0.717480

16 0.788690

18 0.841790

Let’s explore what happens if T has a higher variability (15%) than R (10%). Abbreviated output.

`print(sampleN.NTIDFDA(CV = c(0.15, 0.1), details = FALSE,`

print = FALSE)[8:9], row.names = FALSE)

Sample size Achieved power

32 0.81756

*s*/

_{WT}*s*criterion.

_{WR}Note that the FDA wants a 4-period full replicate. If you are concerned about blood loss and/or dropouts you may consider a 3-period full replicate (TRT|RTR). Since that deviates from the guidance, I recommend to initiate a controlled correspondence with the OGD first. Like the first example but for 90% power:

`sampleN.NTIDFDA(CV = 0.1, design = "2x2x3", targetpower = 0.9)`

+++++++++++ FDA method for NTIDs ++++++++++++

Sample size estimation

---------------------------------------------

Study design: 2x2x3

log-transformed data (multiplicative model)

1e+05 studies for each step simulated.

alpha = 0.05, target power = 0.9

CVw(T) = 0.1, CVw(R) = 0.1

True ratio = 0.975

ABE limits = 0.8 ... 1.25

Implied scABEL = 0.9002 ... 1.1108

Regulatory settings: FDA

- Regulatory const. = 1.053605

- 'CVcap' = 0.2142

Sample size search

n power

34 0.894880

36 0.910210

We can also explore deviations from our assumptions (only equal CVs implemented). For the first example, minimum acceptable power 70% (default of the function):

`pa.NTIDFDA(CV = 0.1)`

Sample size plan RSABE NTID

Design alpha CVwT CVwR theta0 theta1 theta2 Sample size Achieved power Target power

2x2x4 0.05 0.1 0.1 0.975 0.8 1.25 18 0.84179 0.8

Power analysis

CV, theta0 and number of subjects which lead to min. acceptable power of at least 0.7:

CV = (0.0622, 0.3344), theta0= 0.9602

N = 14 (power= 0.7175)

Note the interesting behavior of power with various CVs. If the CV gets smaller, limits get tighter and power drops. On the other hand, if the CV increases, we have wider limits and gain power. If the CV

_{wR}>21.42% the additional criterion “must pass 80–125%” becomes increasingly important and power drops.

We can also explore

*which*of the three criteria are most important. Again the first example and the estimated sample size 18:

`power.NTIDFDA(CV = 0.1, n = 18, details = TRUE)`

p(BE) p(BE-sABEc) p(BE-ABE) p(BE-sratio)

0.84179 0.85628 1.00000 0.97210

The second example where CV

_{wT}> CV

_{wR}:

`power.NTIDFDA(CV = c(0.15, 0.1), n = 32, details = TRUE)`

p(BE) p(BE-sABEc) p(BE-ABE) p(BE-sratio)

0.81756 0.92270 1.00000 0.87137

*s*/

_{WT}*s*criterion drives the sample size.

_{WR}» FDA published a paper* …

» Please provide your valuable suggestion on the same, for my understanding the same.

Hope the above helps.

- Jiang W, Makhlouf F, Schuirmann DJ, Zhang X, Zheng N, Conner D, Yu LX, Lionberger R.
*A Bioequivalence Approach for Generic Narrow Therapeutic Index Drugs: Evaluation of the Reference-Scaled Approach and Variability Comparison Criterion.*AAPS J. 2015;17(4):891–901. doi:10.1208/s12248-015-9753-5. free resource.

Cheers,

Helmut Schütz

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### Complete thread:

- Sample size calculation for NTI molecules narra1813 2019-08-10 09:21 [Power / Sample Size]
- PowerTOST: sampleN.NTIDFDA()Helmut 2019-08-10 11:23