Name
Title | ||
|---|---|---|
A simulation study investigating power estimates in phenome-wide association studies. |
Abstract | ||
|---|---|---|
This study provides a series of PheWAS simulation analyses that can be used to estimate statistical power for some potential scenarios. These results can be used to provide guidelines for appropriate study design for future PheWAS analyses. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1186/s12859-018-2135-0 | BMC Bioinformatics |
Keywords | Field | DocType |
EHR,ICD-9 codes,PheWAS,Power analysis,Simulation study | Biology,Phenome,Genomics,Genetic association,Minor allele frequency,Bioinformatics,Statistical power,Penetrance,Sample size determination | Journal |
Volume | Issue | ISSN |
19 | 1 | 1471-2105 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anurag Verma | 1 | 1 | 3.05 |
| Yukiko Bradford | 2 | 2 | 1.39 |
| Scott M. Dudek | 3 | 206 | 26.27 |
| Anastasia Lucas | 4 | 5 | 2.11 |
| Shefali S. Verma | 5 | 5 | 1.78 |
| Sarah A. Pendergrass | 6 | 42 | 9.20 |
| Marylyn D. Ritchie | 7 | 692 | 86.79 |