data_2x2x3: Sample Size Tables for the 2x2x3 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 2×2×3 replicate crossover design (2-treatment 2-sequence 3-period design.

Details

The data.frames can be accessed by their names.

data.frame Description
ct9.6.2 Additive model, theta1=--0.2, theta2=+0.2 (BE limits 0.80 -- 1.20)
approximate power via shifted non-central t-distribution
ct9.6.6 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
ct9.6.2 Chow & Liu Table 9.6.2 (p 292)
ct9.6.6 Chow & Liu Table 9.6.6 (p 293)

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    6     6   12    38
2  0.12   0.8    6     8   16    56
3  0.14   0.8    8    10   20    74
4  0.16   0.8   10    12   26    96
5  0.18   0.8   12    16   32   122
6  0.20   0.8   14    18   38   150
7  0.22   0.8   18    22   46   182
8  0.24   0.8   20    26   56   216
9  0.26   0.8   24    30   64   252
10 0.28   0.8   28    34   74   292
11 0.30   0.8   30    40   86   336
12 0.32   0.8   34    44   96   382
13 0.34   0.8   38    50  108   430
14 0.36   0.8   44    56  122   482
15 0.38   0.8   48    62  136   538
16 0.40   0.8   54    68  150   596
17 0.10   0.9    6     8   14    54
18 0.12   0.9    8    10   20    76
19 0.14   0.9   10    14   28   102
20 0.16   0.9   12    16   34   134
21 0.18   0.9   16    20   44   168
22 0.20   0.9   18    24   54   208
23 0.22   0.9   22    30   64   250
24 0.24   0.9   26    34   76   298
25 0.26   0.9   30    40   88   350
26 0.28   0.9   34    46  102   404
27 0.30   0.9   38    54  118   464
28 0.32   0.9   44    60  134   528
29 0.34   0.9   48    68  150   596
30 0.36   0.9   54    76  168   668
31 0.38   0.9   60    84  188   744
32 0.40   0.9   66    94  208   824
          CV power R0.85 R0.9 R0.95 R1.0 R1.05 R1.1 R1.15 R1.2
1  0.1002505   0.8    28    8     6    4     6    8    16   58
2  0.1204333   0.8    38   12     6    6     6   10    22   82
3  0.1406888   0.8    52   14     8    8     8   12    28  110
4  0.1610295   0.8    66   18    10    8    10   16    36  144
5  0.1814679   0.8    84   24    12   10    12   20    44  182
6  0.2020168   0.8   102   28    14   12    14   24    56  224
7  0.2226890   0.8   124   34    18   14    18   30    66  272
8  0.2434978   0.8   148   40    20   16    20   34    78  322
9  0.2644565   0.8   172   46    24   20    24   40    92  378
10 0.2855787   0.8   200   54    28   22    26   46   106  438
11 0.3068783   0.8   228   62    30   26    30   52   122  502
12 0.3283695   0.8   260   70    34   28    34   60   138  572
13 0.3500668   0.8   294   80    40   32    38   68   156  646
14 0.3719851   0.8   328   88    44   36    42   76   174  722
15 0.3941398   0.8   366   98    48   40    48   84   194  806
16 0.4165464   0.8   406  108    54   44    52   92   216  892
17 0.1002505   0.9    36   12     6    6     6   10    20   78
18 0.1204333   0.9    52   16     8    6     8   14    28  112
19 0.1406888   0.9    70   20    10    8    10   18    38  152
20 0.1610295   0.9    92   26    14   10    12   22    50  200
21 0.1814679   0.9   116   32    16   12    16   28    62  252
22 0.2020168   0.9   142   38    20   16    18   34    76  310
23 0.2226890   0.9   170   46    24   18    22   40    92  374
24 0.2434978   0.9   204   56    28   20    26   48   108  446
25 0.2644565   0.9   238   64    32   24    30   54   126  522
26 0.2855787   0.9   276   74    36   28    36   64   146  606
27 0.3068783   0.9   316   86    42   32    40   72   168  696
28 0.3283695   0.9   360   96    46   36    46   82   192  792
29 0.3500668   0.9   406  108    52   40    52   92   216  892
30 0.3719851   0.9   454  122    58   44    58  104   242 1000
31 0.3941398   0.9   506  136    64   50    64  116   268 1114
32 0.4165464   0.9   562  150    72   54    70  128   298 1236

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