data_2x4x4: Sample Size Tables for the 2x4x4 Replicate Crossover Design

Description Details Note Author(s) Source References Examples

Description

These data.frames give sample size tables calculated with sampleN.TOST() for the 2×4×4 replicate crossover design (2-treatment 4-sequence 4-period design).

Details

The data.frames can be accessed by their names.

data.frame Description
ct9.6.4 Additive model, theta1=--0.2, theta2=+0.2 (BE limits 0.80 -- 1.20)
approximate power via shifted non-central t-distribution
ct9.6.8 Multiplicative model, theta1=0.8, theta2=1.25 (1/theta1)
approximate power via shifted non-central t-distribution

Attention! CV is se (standard error) of residuals.

Note

Scripts for creation of these data.frames can be found in the /test sub-directory of the package.
Comparing the results of these scripts to the corresponding data.frames can be used for validation purposes.

Author(s)

PowerTOST

Source

data.frame Origin Details
ct9.6.4 Chow & Liu Table 9.6.4 (p 294)
ct9.6.8 Chow & Liu Table 9.6.8 (p 298)

References

Chow SC, Liu JP. Design and Analysis of Bioavailability and Bioequivalence Studies. Boca Raton: CRC Press; 3rd edition 2009.

Examples

1
2

Example output

     CV power R0.0 R0.05 R0.1 R0.15
1  0.10   0.8    4     4    8    28
2  0.12   0.8    4     8   12    40
3  0.14   0.8    8     8   16    52
4  0.16   0.8    8     8   20    64
5  0.18   0.8    8    12   24    84
6  0.20   0.8   12    12   28   100
7  0.22   0.8   12    16   32   124
8  0.24   0.8   16    20   40   144
9  0.26   0.8   16    20   44   168
10 0.28   0.8   20    24   52   196
11 0.30   0.8   20    28   60   224
12 0.32   0.8   24    32   64   256
13 0.34   0.8   28    36   72   288
14 0.36   0.8   32    40   84   324
15 0.38   0.8   32    44   92   360
16 0.40   0.8   36    48  100   400
17 0.10   0.9    4     8   12    36
18 0.12   0.9    8     8   16    52
19 0.14   0.9    8    12   20    68
20 0.16   0.9    8    12   24    92
21 0.18   0.9   12    16   32   112
22 0.20   0.9   12    16   36   140
23 0.22   0.9   16    20   44   168
24 0.24   0.9   20    24   52   200
25 0.26   0.9   20    28   60   236
26 0.28   0.9   24    32   68   272
27 0.30   0.9   28    36   80   312
28 0.32   0.9   32    40   92   352
29 0.34   0.9   32    48  100   400
30 0.36   0.9   36    52  112   448
31 0.38   0.9   40    56  128   496
32 0.40   0.9   44    64  140   552
          CV power R0.85 R0.9 R0.95 R1.0 R1.05 R1.1 R1.15 R1.2
1  0.1002505   0.8    20    8     4    4     4    8    12   40
2  0.1204333   0.8    28    8     4    4     4    8    16   56
3  0.1406888   0.8    36   12     8    8     8   12    20   76
4  0.1610295   0.8    44   12     8    8     8   12    24   96
5  0.1814679   0.8    56   16     8    8     8   16    32  124
6  0.2020168   0.8    68   20    12    8    12   16    40  152
7  0.2226890   0.8    84   24    12   12    12   20    44  184
8  0.2434978   0.8   100   28    16   12    16   24    52  216
9  0.2644565   0.8   116   32    16   16    16   28    64  252
10 0.2855787   0.8   136   36    20   16    20   32    72  292
11 0.3068783   0.8   152   44    20   20    20   36    84  336
12 0.3283695   0.8   176   48    24   20    24   40    92  384
13 0.3500668   0.8   196   56    28   24    28   48   104  432
14 0.3719851   0.8   220   60    32   24    28   52   116  484
15 0.3941398   0.8   244   68    32   28    32   56   132  540
16 0.4165464   0.8   272   72    36   32    36   64   144  596
17 0.1002505   0.9    24    8     4    4     4    8    16   52
18 0.1204333   0.9    36   12     8    8     8   12    20   76
19 0.1406888   0.9    48   16     8    8     8   12    28  104
20 0.1610295   0.9    64   20    12    8     8   16    36  136
21 0.1814679   0.9    80   24    12    8    12   20    44  168
22 0.2020168   0.9    96   28    16   12    12   24    52  208
23 0.2226890   0.9   116   32    16   12    16   28    64  252
24 0.2434978   0.9   136   40    20   16    20   32    72  300
25 0.2644565   0.9   160   44    24   16    20   36    84  348
26 0.2855787   0.9   184   52    24   20    24   44   100  404
27 0.3068783   0.9   212   60    28   24    28   48   112  464
28 0.3283695   0.9   240   64    32   24    32   56   128  528
29 0.3500668   0.9   272   72    36   28    36   64   144  596
30 0.3719851   0.9   304   84    40   32    40   72   164  668
31 0.3941398   0.9   340   92    44   36    44   80   180  744
32 0.4165464   0.9   376  100    48   36    48   88   200  824

PowerTOST documentation built on Jan. 18, 2021, 5:07 p.m.