Description Usage Arguments Details Value Author(s) References See Also Examples

Estimation of the concordance correlation coefficient (CCC) for repeated measurements using the variance components from a linear mixed model. The appropriate intraclass correlation coefficient is used as estimator of the concordance correlation coefficient. Weights are assigned to repeated measurements in the CCC computation process.

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`dataset` |
an object of class |

`ry` |
Character string. Name of the outcome in the data set. |

`rind` |
Character string. Name of the subject variable in the data set. |

`rtime` |
Character string. Name of the time variable in the data set. |

`rmet` |
Character string. Name of the method variable in the data set. |

`vecD` |
Vector of weigths. The length of the vector must be the same as the number of repeated measures. |

`covar` |
Character vector. Name of covariables to include in the linear mixed model as fixed effects. |

`rho` |
Within subject correlation structure. A value of 0 (default option) stands for compound simmetry and 1 is used for autoregressive of order 1 structure. |

`cl` |
Confidence level. |

The concordance correlation coefficient is estimated using the appropriate intraclass correlation coefficient which expression is modified accordingly to assign different weights to each repeated measurement (see Carrasco et al, 2009; Carrasco et al, 2013). The variance components estimates are obtained from a linear mixed model estimated by restricted maximum likelihood. The standard error of CCC is computed using an Taylor's series expansion of 1st order (delta method). Confidence interval is built by applying the Fisher's Z-transformation.

An object of class `ccc`

. Generic function `summary`

show a summary of the results. The output is a list with the following components:

`ccc` |
Concordance Correlation Coefficient estimate |

`model` |
Summary of the linear mixed model |

`vc` |
Variance components estimates |

`sigma` |
Variance components asymptotic covariance matrix |

Josep Puig-Martinez and Josep L. Carrasco

Carrasco, JL; King, TS; Chinchilli, VM. (2009). The concordance correlation coefficient for repeated measures estimated by variance components. Journal of Biopharmaceutical Statistics, 19, 90:105.

Carrasco, JL; Phillips, BR; Puig-Martinez, J; King, TS; Chinchilli, VM. (2013). Estimation of the concordance correlation coefficient for repeated measures using SAS and R. Computer Methods and Programs in Biomedicine, 109, 293-304.

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cccrm documentation built on May 30, 2017, 3:39 a.m.

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