GeneUni: Example of genetic data for univariate error-prone covariates

In augSIMEX: Analysis of Data with Mixed Measurement Error and Misclassification in Covariates

Description

This data set gives an example data for the illustration of usage of augSIMEX function. The data set is adapted from the outbred Carworth Farms White mice data (Parker et. al., 2016). The dataset contains main data and validation data. We are interested to study the association between the response genotype of rs38916331 and the tibia length, which is subject to mismeasurement.

Tibia_T: the precise measurement of tibia length Tibia_M: the error-prone measurement of tibia length Batch_T: the precisely labeled batch effect Batch_O: the observed batch effect Weight: the body weights of the mice

Usage

data(GeneUni)

Format

A list of two data frames. Main data (rs38916331, Weight, Tibia_M, Batch_O) and validation data (Tibia_T, Batch_T, Weight, Tibia_M, Batch_O).

References

Parker C C, Gopalakrishnan S, Carbonetto P, et al. Genome-wide association study of behavioral, physiological and gene expression traits in outbred CFW mice[J]. Nature genetics, 2016, 48(8): 919.

augSIMEX documentation built on April 23, 2020, 5:08 p.m.