This is placeholder text for your template. To add content to the body, replace this text. To add a header or footer, click the Header or Footer button on the toolbar.
The heading in this template is a special field for topic titles, so generally you do not need to edit it.
For information about applying templates to topics, press F1.
This function allocates a given number of subjects at random to one of two independent groups.
Randomization reduces opportunities for bias and confounding in experimental designs, and leads to treatment groups which are random samples of the population sampled, thus helping to meet assumptions of subsequent statistical analysis (Bland, 2000).
Two independent groups might be intervention and control groups, for example to examine the effect of a new treatment. For a randomized controlled trial of a new treatment you would randomly allocate some subjects to receive the new treatment and the other subjects to receive the control treatment (e.g. placebo drug). For a total of 30 subjects in two groups of 15 you would enter 30 into this function:
Unpaired random allocation to intervention or control group
Randomized with seed: 10
|
Intervention |
1 |
Control |
2 |
|
Intervention |
3 |
Control |
6 |
|
Intervention |
4 |
Control |
8 |
|
Intervention |
5 |
Control |
12 |
|
Intervention |
7 |
Control |
13 |
|
Intervention |
9 |
Control |
16 |
|
Intervention |
10 |
Control |
17 |
|
Intervention |
11 |
Control |
20 |
|
Intervention |
14 |
Control |
21 |
|
Intervention |
15 |
Control |
23 |
|
Intervention |
18 |
Control |
24 |
|
Intervention |
19 |
Control |
25 |
|
Intervention |
22 |
Control |
27 |
|
Intervention |
26 |
Control |
28 |
|
Intervention |
30 |
Control |
29 |
- here the first subject would be allocated to the control group and the second to the treatment group etc.
Technical validation
Robust (pseudo-)random number generation is used, see random number generation.