Exact Sample Sizes for Groups in the
Ratio 2:1
by
Abstract: Exact Sample Size Tables are given for
groups in the ratio 2:1 and 1:1 for alpha = 0.05 and beta = 0.20. The Tables were
calculated from Excel Spreadsheets using Fisher's Exact Test and a modified
version of Mainland's Method.
Keywords: Ratio of Treatment Groups Fisher’s Exact
Test p-values Type I Type II Errors Power Approximations Mesh Size.
For prospective
studies there can be difficulty in recruiting sufficient patients to take part
within a given time span.
There are instances
where randomly distributing the patients to the two treatment groups in the
ratio 2:1 may be more time efficient and cost effective than the usual ratio
1:1.
The least
conservative a priori values for alpha and beta1, the type I and
type II errors, that are generally acceptable are a value of alpha = 0.05 ( the level set for statistical significance)
and Power = 80% ( the value of 1- beta expressed as a percentage ).
One of the simplest
arrangements for comparing data collected from two groups is the 2x2
Contingency Table but there is still no agreement amongst Statisticians as to
the use of Conditional2 or Unconditional3 Tests.
Similarly tables of
Samples Sizes may be determined by Exact4 or Approximate5
Methods and in one case a mixture of both6.
The simplicity of the
Approximation Formulae of Lehr7 contrast with the large number of
calculations required for Exact Sample Sizes which increases exponentially8.
As with the type of
test and the method of calculation several methods have been suggested for the
calculation of one-sided probability, amongst which are a Clopper-Pearson type
value9 which maintains a value of at least alpha in the tail, the
mid-p value10, and an approximation11 based on straddling
the tail values.
The cells in the
table were calculated as an Excel Spreadsheet and only those less than 150 are
given here. The method being adapted from that of Mainland12.
The tables presented
here are for Conditional Exact Sample Sizes using Fisher’s Exact Test to
determine Statistical Significance and assuming the proportions in the
Contingency Table to be Independent Binomial Proportions to calculate the
corresponding Power.
The choice of mesh size 0.05 x 0.05 is simply one of convenience for
publication. Both tables are extracts from larger unpublished tables of mesh
size 0.01 x 0.01 and Sample Sizes to 1500. [No details have been given of the
arc sin approximation13.]
To detect a difference of 0.3 between two proportions where p1 is
0.55 ( (and hence p2 is 0.85)
for the groups in the ratio 2:1 72 patients in groups of 24 and 48 would be
required as against two groups of 34.
The total number of patients required is always more for the 2:1 ratio.
Table 1
Treatment Groups in the Ratio 2:1
Difference in Proportions p2
– p1 where p1 is the smaller
p1 |
0.15 |
0.2 |
0.25 |
0.3 |
0.35 |
0.4 |
0.45 |
0.5 |
0.55 |
0.6 |
0.65 |
0.7 |
0.75 |
0.8 |
0.85 |
0.9 |
0.95 |
1 |
p1 |
0 |
102 |
63 |
54 |
45 |
39 |
33 |
30 |
27 |
24 |
18 |
18 |
15 |
15 |
15 |
12 |
9 |
9 |
9 |
0 |
0.05 |
|
102 |
78 |
60 |
45 |
39 |
33 |
30 |
27 |
21 |
18 |
15 |
15 |
15 |
15 |
9 |
9 |
|
0.05 |
0.1 |
|
129 |
90 |
66 |
54 |
42 |
36 |
30 |
27 |
24 |
21 |
18 |
15 |
15 |
15 |
15 |
|
|
0.1 |
0.15 |
|
147 |
105 |
75 |
60 |
48 |
39 |
36 |
27 |
24 |
21 |
18 |
15 |
15 |
15 |
|
|
|
0.15 |
0.2 |
|
|
114 |
81 |
63 |
51 |
39 |
36 |
30 |
24 |
21 |
18 |
18 |
18 |
|
|
|
|
0.2 |
0.25 |
|
|
117 |
87 |
63 |
51 |
42 |
36 |
30 |
24 |
21 |
21 |
18 |
|
|
|
|
|
0.25 |
0.3 |
|
|
126 |
90 |
63 |
51 |
42 |
36 |
30 |
24 |
21 |
21 |
|
|
|
|
|
|
0.3 |
0.35 |
|
|
126 |
90 |
63 |
51 |
39 |
33 |
27 |
24 |
21 |
|
|
|
|
|
|
|
0.35 |
0.4 |
|
|
126 |
90 |
63 |
51 |
39 |
30 |
27 |
24 |
|
|
|
|
|
|
|
|
0.4 |
0.45 |
|
|
126 |
84 |
63 |
48 |
36 |
30 |
27 |
|
|
|
|
|
|
|
|
|
0.45 |
0.5 |
|
|
120 |
81 |
57 |
45 |
33 |
30 |
|
|
|
|
|
|
|
|
|
|
0.5 |
0.55 |
|
|
111 |
72 |
54 |
39 |
33 |
|
|
|
|
|
|
|
|
|
|
|
0.55 |
0.6 |
|
|
102 |
63 |
45 |
39 |
|
|
|
|
|
|
|
|
|
|
|
|
0.6 |
0.65 |
|
147 |
90 |
57 |
45 |
|
|
|
|
|
|
|
|
|
|
|
|
|
0.65 |
0.7 |
|
123 |
72 |
54 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
0.7 |
0.75 |
|
99 |
63 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
0.75 |
0.8 |
147 |
81 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
0.8 |
0.85 |
108 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
0.85 |
p1 |
0.15 |
0.2 |
0.25 |
0.3 |
0.35 |
0.4 |
0.45 |
0.5 |
0.55 |
0.6 |
0.65 |
0.7 |
0.75 |
0.8 |
0.85 |
0.9 |
0.95 |
1 |
p1 |
Table 2 Treatment Groups in the Ratio 1:1
Difference in Proportions p2
– p1 where p1 is the smaller
p1 |
0.15 |
0.2 |
0.25 |
0.3 |
0.35 |
0.4 |
0.45 |
0.5 |
0.55 |
0.6 |
0.65 |
0.7 |
0.75 |
0.8 |
0.85 |
0.9 |
0.95 |
1 |
p1 |
0 |
88 |
66 |
52 |
42 |
36 |
26 |
24 |
20 |
18 |
16 |
14 |
14 |
12 |
12 |
10 |
8 |
8 |
8 |
0 |
0.05 |
134 |
90 |
68 |
50 |
40 |
34 |
28 |
24 |
22 |
18 |
18 |
16 |
12 |
12 |
10 |
8 |
8 |
|
0.05 |
0.1 |
|
112 |
78 |
60 |
48 |
38 |
32 |
26 |
24 |
20 |
18 |
16 |
12 |
12 |
10 |
8 |
|
|
0.1 |
0.15 |
|
130 |
92 |
68 |
52 |
44 |
34 |
30 |
24 |
20 |
18 |
18 |
12 |
12 |
10 |
|
|
|
0.15 |
0.2 |
|
146 |
98 |
72 |
54 |
46 |
34 |
30 |
24 |
20 |
18 |
16 |
12 |
12 |
|
|
|
|
0.2 |
0.25 |
|
|
108 |
74 |
60 |
46 |
36 |
30 |
24 |
20 |
18 |
16 |
12 |
|
|
|
|
|
0.25 |
0.3 |
|
|
110 |
82 |
62 |
46 |
36 |
30 |
24 |
20 |
18 |
14 |
|
|
|
|
|
|
0.3 |
0.35 |
|
|
112 |
82 |
62 |
46 |
34 |
30 |
24 |
18 |
14 |
|
|
|
|
|
|
|
0.35 |
0.4 |
|
|
112 |
82 |
60 |
46 |
34 |
26 |
22 |
16 |
|
|
|
|
|
|
|
|
0.4 |
0.45 |
|
|
110 |
74 |
54 |
46 |
32 |
24 |
20 |
|
|
|
|
|
|
|
|
|
0.45 |
0.5 |
|
|
108 |
72 |
52 |
46 |
28 |
22 |
|
|
|
|
|
|
|
|
|
|
0.5 |
0.55 |
|
|
98 |
68 |
48 |
34 |
48 |
|
|
|
|
|
|
|
|
|
|
|
0.55 |
0.6 |
|
146 |
92 |
60 |
40 |
26 |
|
|
|
|
|
|
|
|
|
|
|
|
0.6 |
0.65 |
|
130 |
78 |
50 |
36 |
|
|
|
|
|
|
|
|
|
|
|
|
|
0.65 |
0.7 |
|
112 |
68 |
42 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
0.7 |
0.75 |
|
90 |
52 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
0.75 |
0.8 |
134 |
66 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
0.8 |
0.85 |
88 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
0.85 |
p1 |
0.15 |
0.2 |
0.25 |
0.3 |
0.35 |
0.4 |
0.45 |
0.5 |
0.55 |
0.6 |
0.65 |
0.7 |
0.75 |
0.8 |
0.85 |
0.9 |
0.95 |
1 |
p1 |
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