A likelihood-based hypothesis testing approach is implemented for assessing causal mediation. For example, it could be used to test for mediation of a known causal association between a DNA variant, the 'instrumental variable', and a clinical outcome or phenotype by gene expression or DNA methylation, the potential mediator. Another example would be testing mediation of the effect of a drug on a clinical outcome by the molecular target. The hypothesis test generates a p-value or permutation-based FDR value with confidence intervals to quantify uncertainty in the causal inference. The outcome can be represented by either a continuous or binary variable, the potential mediator is continuous, and the instrumental variable can be continuous or binary and is not limited to a single variable but may be a design matrix representing multiple variables.
Version: | 2.2 |
Published: | 2017-12-15 |
Author: | Joshua Millstein |
Maintainer: | Joshua Millstein <joshua.millstein at usc.edu> |
License: | Artistic-2.0 |
NeedsCompilation: | yes |
SystemRequirements: | gsl (with development libraries) |
Materials: | README |
CRAN checks: | cit results |
Reference manual: | cit.pdf |
Package source: | cit_2.2.tar.gz |
Windows binaries: | r-devel: cit_2.2.zip, r-release: cit_2.2.zip, r-oldrel: cit_2.2.zip |
macOS binaries: | r-release: cit_2.2.tgz, r-oldrel: cit_2.2.tgz |
Old sources: | cit archive |
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