Multivariate modelling | ||||||
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Bivariate analysis | Least median of square with MM estimator | |||||

Domains | Correlation with PhGA | p Value | Regression coefficient | Standard error | Weight | p Value |

Constitutional | 0.106 | 0.005 | 0.704 | 0.163 | 3 | <0.001 |

Lymphadenopathy | 0.134 | <0.001 | 0.817 | 0.089 | 4 | <0.001 |

Glandular | 0.067 | 0.078 | 0.407 | 0.091 | 2 | <0.001 |

Articular | 0.063 | 0.095 | 0.489 | 0.068 | 2 | <0.001 |

Cutaneous | 0.156 | <0.001 | 0.559 | 0.097 | 3 | <0.001 |

Pulmonary | 0.170 | <0.001 | 1.066 | 0.115 | 5 | <0.001 |

Renal | 0.125 | <0.001 | 1.090 | 0.170 | 5 | <0.001 |

Muscular | 0.156 | <0.001 | 1.193 | 0.191 | 6 | <0.001 |

PNS | 0.197 | <0.001 | 0.944 | 0.117 | 5 | <0.001 |

CNS | 0.159 | <0.001 | 0.936 | 0.157 | 5 | <0.001 |

Hematological | 0.041 | 0.277 | 0.361 | 0.126 | 2 | 0.004 |

Biological | 0.073 | 0.053 | 0.206 | 0.080 | 1 | 0.010 |

For bivariate analysis, Pearson's correlation coefficient (r) were obtained between the physician global assessment (PhGA) scale and each domain; for each domain, scores ranged from 0 ‘no activity’ to 3 ‘high activity’. All domains were entered in multivariate regression with the least-median-of-squares model with an MM estimator. R

^{2}=0.30 for the model. All domains were significantly associated with disease activity (as defined by the 0–10 PhGA numerical scale) in the multivariate model. The weights were derived from the regression coefficient of the multivariate model.CNS, central nervous system; MM, modified maximum likelihood; PNS, peripheral nervous system.