data_parallel: Sample Size Tables for the Parallel Group Design

Description Details Note Author(s) Examples

Description

These data.frames give sample size tables calculated with sampleN.TOST() for the parallel group design (2 groups).

Details

The data.frames can be accessed by their names.

ctSJ.VIII.10 is Table VIII, column ‘level of bioequivalence 10%’ from
Julious SA. Tutorial in Biostatistics. Sample sizes for clinical trials with Normal data.
Stat Med. 2004;23(12):1921–86. doi: 10.1002/sim.1783

Multiplicative model, theta1=0.9, theta2=1.1111 (1/theta1), target power=90%,
power approximate via non-central t-distribution.
Attention! Julious gives sample size per group.

ctSJ.VIII.20 is Table VIII from the same source
column ‘level of bioequivalence 20%’
Multiplicative model, theta1=0.8, theta2=1.25 (1/theta1), target power=90%,
power approximate via non-central t.

ctCW.III is Table III from
Chow SC, Wang H. On Sample Size Calculation in Bioequivalence Trials
J Pharmacokinet Pharmacodyn. 2001. 28(2):155–69.
Additive model, theta1=–0.2, theta2=+0.2 (BE limits 0.80 – 1.20), exact.

Seems the last reference is not very reliable (compare to the Table in the paper).

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

Examples

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Example output

     CV power R0.95 R1.0 R1.05
1  0.30   0.9  1012  338   924
2  0.35   0.9  1356  452  1240
3  0.40   0.9  1742  582  1592
4  0.45   0.9  2164  722  1976
5  0.50   0.9  2618  872  2390
6  0.55   0.9  3100 1032  2832
7  0.60   0.9  3606 1202  3294
8  0.65   0.9  4132 1376  3774
9  0.70   0.9  4676 1558  4270
10 0.75   0.9  5232 1742  4780
11 0.80   0.9  5800 1932  5298
12 0.85   0.9  6374 2122  5824
     CV power R0.85 R0.9 R0.95 R1.0 R1.05 R1.1 R1.15  R1.2
1  0.30   0.9   806  216   102   78   100  184   426  1774
2  0.35   0.9  1080  288   138  102   134  244   572  2378
3  0.40   0.9  1386  368   176  132   170  314   734  3054
4  0.45   0.9  1722  458   218  162   212  388   910  3792
5  0.50   0.9  2082  554   262  196   256  470  1102  4590
6  0.55   0.9  2466  654   310  232   302  556  1304  5436
7  0.60   0.9  2868  762   360  270   352  646  1518  6324
8  0.65   0.9  3286  872   414  308   402  742  1738  7246
9  0.70   0.9  3720  988   468  350   454  838  1968  8200
10 0.75   0.9  4162 1104   522  390   508  938  2202  9176
11 0.80   0.9  4614 1224   578  432   564 1040  2440 10172
12 0.85   0.9  5070 1346   636  476   620 1142  2682 11180
     CV power R0.0 R0.05 R0.1 R0.15
1  0.10   0.8   12    14   28   102
2  0.12   0.8   14    18   38   144
3  0.14   0.8   20    24   50   196
4  0.16   0.8   24    32   66   256
5  0.18   0.8   30    38   82   322
6  0.20   0.8   36    48  102   398
7  0.22   0.8   44    56  122   482
8  0.24   0.8   52    66  144   572
9  0.26   0.8   60    78  170   672
10 0.28   0.8   70    90  196   778
11 0.30   0.8   80   102  224   892
12 0.32   0.8   90   116  256  1016
13 0.34   0.8  102   132  288  1146
14 0.36   0.8  114   148  322  1284
15 0.38   0.8  126   164  360  1430
16 0.40   0.8  140   182  398  1586
17 0.10   0.9   14    18   36   140
18 0.12   0.9   18    24   52   200
19 0.14   0.9   24    32   70   270
20 0.16   0.9   30    42   90   354
21 0.18   0.9   38    52  114   446
22 0.20   0.9   46    64  140   550
23 0.22   0.9   54    76  168   666
24 0.24   0.9   64    90  200   792
25 0.26   0.9   76   106  234   928
26 0.28   0.9   88   122  270  1076
27 0.30   0.9  100   140  310  1236
28 0.32   0.9  114   158  354  1406
29 0.34   0.9  128   178  398  1586
30 0.36   0.9  142   200  446  1778
31 0.38   0.9  158   222  498  1980
32 0.40   0.9  176   246  550  2194

PowerTOST documentation built on Aug. 17, 2017, 5:05 p.m.