Table 3.
Applications of genetic simulation c | Genetic Epidemiology | Bioinformatics | American Journal of Human Genetics | Nature Genetics | Evolution |
---|---|---|---|---|---|
Type‐1 error, power, and sensitivity | 68 (70.1%) | 23 (23.0%) | 19 (43.2%) | 30 (36.6%) | 9 (9.0%) |
Comparison of statistical methods performance | 84 (86.6%) | 69 (69.0%) | 20 (45.5%) | 21 (25.6%) | 4 (4.0%) |
Validation/robustness | 31 (32.0%) | 50 (50.0%) | 13 (29.5%) | 33 (40.2%) | 19 (19.0%) |
Exploratory analysis | 3 (3.1%) | 0 (0%) | 2 (4.5%) | 5 (6.1%) | 32 (32.0%) |
Statistical inference | 0 (0%) | 2 (2.0%) | 10 (22.7%) | 24 (29.3%) | 57 (57.0%) |
Total number of articles reviewed | 97 | 100 | 44 | 82 | 100 |
Number of articles does not add up to the total due to genetic simulations being used for multiple applications.
Proportion of articles do not add to 100%.
Definitions for applications of genetic simulation are provided in Section 2.