Name
Title | ||
|---|---|---|
Examining the role of unmeasured confounding in mediation analysis with genetic and genomic applications. |
Abstract | ||
|---|---|---|
Umediation is a flexible R package that examines the role of unmeasured confounding in mediation analysis allowing for normally distributed or Bernoulli distributed exposures, outcomes, mediators, measured confounders, and unmeasured confounders. Umediation also accommodates multiple measured confounders, multiple unmeasured confounders, and allows for a mediator-exposure interaction on the outcome. Umediation is available as an R package at https://github.com/SharonLutz/Umediation A tutorial on how to install and use the Umediation package is available in the Additional file 1. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1186/s12859-017-1749-y | BMC Bioinformatics |
Keywords | Field | DocType |
Direct effects,Mediated effects,Mediation analysis,Population stratification,Unmeasured confounding | Econometrics,Data mining,Confounding,Mediation (statistics),Biology,Genetic epidemiology,Genome-wide association study,Confounding Factors (Epidemiology),Mediation (Marxist theory and media studies),Population stratification,Bioinformatics,R package | Journal |
Volume | Issue | ISSN |
18 | 1 | 1471-2105 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sharon Lutz | 1 | 3 | 1.44 |
| Annie Thwing | 2 | 0 | 0.34 |
| Sarah Schmiege | 3 | 0 | 0.34 |
| Miranda Kroehl | 4 | 0 | 0.34 |
| Christopher D. Baker | 5 | 0 | 0.34 |
| Anne P. Starling | 6 | 0 | 0.34 |
| John E. Hokanson | 7 | 0 | 0.34 |
| Debashis Ghosh | 8 | 496 | 49.16 |