mccmeiv-package: Analysis of Matched Case Control Data with a Mismeasured...
In mccmeiv: Analysis of Matched Case Control Data with a Mismeasured Exposure that is Accompanied by Instrumental Variables
Description
Author(s)
References
Description
This package implements the methodology found in Manuel et al. to estimate parameters of a logistic model using data from a matched case control design with a mismeasured exposure variable with the help of instrumental variables.
Author(s)
Chris M Manuel, Samiran Sinha, and Suojin Wang
Maintainer: Chris M Manuel <cmmanuel@stat.tamu.edu>
References
Manuel, CM, Sinha, S and Wang, S. Matched case-control data with a misclassified exposure:
What can be done with instrumental variables? (Submitted).
mccmeiv documentation built on May 1, 2019, 9:13 p.m.
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Description Author(s) References
Description
This package implements the methodology found in Manuel et al. to estimate parameters of a logistic model using data from a matched case control design with a mismeasured exposure variable with the help of instrumental variables.
Author(s)
Chris M Manuel, Samiran Sinha, and Suojin Wang
Maintainer: Chris M Manuel <cmmanuel@stat.tamu.edu>
References
Manuel, CM, Sinha, S and Wang, S. Matched case-control data with a misclassified exposure: What can be done with instrumental variables? (Submitted).
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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