ExampleData

<p>ExampleData is a hypothetical dataset constructed to demonstrate all functions 
in the package. ExampleData is a data frame containing a binary outcome variable 
(e.g., disease present/absent) and genetic and non-genetic predictor variables 
for 10,000 persons. In this dataset, column 1 is the ID number, column 2 is the
outcome variable, columns 3-10 are non-genetic variables and columns 11-16 are  
genetic variables.</p>  
<p></p>

datasets

We included functions to assess the performance of
risk models. The package contains functions for the various measures that are
used in empirical studies, including univariate and multivariate odds ratios
(OR) of the predictors, the c-statistic (or area under the receiver operating
characteristic (ROC) curve (AUC)), Hosmer-Lemeshow goodness of fit test,
reclassification table, net reclassification improvement (NRI) and
integrated discrimination improvement (IDI). Also included are functions
to create plots, such as risk distributions, ROC curves, calibration plot,
discrimination box plot and predictiveness curves. In addition to functions
to assess the performance of risk models, the package includes functions to
obtain weighted and unweighted risk scores as well as predicted risks using
logistic regression analysis. These logistic regression functions are
specifically written for models that include genetic variables, but they
can also be applied to models that are based on non-genetic risk factors only.
Finally, the package includes function to construct a simulated dataset with
genotypes, genetic risks, and disease status for a hypothetical population, which
is used for the evaluation of genetic risk models.

Suman Kundu

ExampleData: A hypothetical dataset that is used to demonstrate all functions.

Description

Usage

Arguments

Examples