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. 2019 Jul 2;7(3):84. doi: 10.3390/healthcare7030084

Table 3.

Simulation study results investigating the power of N-of-1 designs as a function of effect size (the difference between the experimental intervention and comparator intervention in standard deviation units) and serial correlation strength.

Setting Serial Correlation Strength
Periods Effect Size 0.00 0.25 0.50 0.75
1p × 2i 0.0 0.059 0.049 0.061 0.051
4p × 2i 0.0 0.060 0.044 0.048 0.066
10p × 2i 0.0 0.061 0.063 0.051 0.060
1p × 2i 0.3 0.832 0.619 0.317 0.136
4p × 2i 0.3 0.856 0.614 0.336 0.201
10p × 2i 0.3 0.862 0.656 0.425 0.288
1p × 2i 0.6 1.000 0.993 0.851 0.359
4p × 2i 0.6 1.000 0.992 0.905 0.528
10p × 2i 0.6 1.000 0.997 0.945 0.786
1p × 2i 0.9 1.000 1.000 0.997 0.661
4p × 2i 0.9 1.000 1.000 0.994 0.842
10p × 2i 0.9 1.000 1.000 0.999 0.990

Key: Periods = the number of periods in which two interventions are administered.