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MLA-bilateral

MLA-bilateral

mcblog

The mcblog R-package provides an implementation of the maximum likelihood approach to adjust worse-entity logistic regression for bilateral disease for entity-specific misclassification using validation data as introduced in Guenther et al. (2020). This approach can e.g., be used to adjust genetic association estimates for bilateral disease phenotypes (e.g., age-related macular degeneration) for misclassification in the disease status due to error-prone or suboptimal entity specific disease classifications when gold-standard classifications are available for a subset ofentities.  

Download

mcblog_0.0.0.9000.tar.gz

Example code

Please see the following vignette for an introduction into the usage of the R-package and illustrative examples:

introduction_mcblog.html

Reference:

Guenther, F., Brandl, C., Winkler, T. W., Wanner, V., Stark, K., Küchenhoff, H., & Heid, I. M. (2020). Chances and challenges of machine learning based disease classification in genetic association studies illustrated on age-related macular degeneration. Genetic Epidemiology.  

Contact

Felix.Guenther@stat.uni-muenchen.de

  1. Fakultät für Medizin

Lehrstuhl für Genetische Epidemiologie

Institut für Epidemiologie und Präventivmedizin

Fittosize 191 191 4464fe38391e129d5ad35222161ab65b Eingang

Universitätsklinikum Regensburg
Franz-Josef-Strauß-Allee 11
93053 Regensburg