From: Overdispersed logistic regression for SAGE: Modelling multiple groups and covariates

Model 1: | Hypothetical Cov. |
= 1.224e - 03
| df = 5 | |
---|---|---|---|---|

Coefficients | Estimate | (s.e) | t-value | p-value |

β
_{0}
| -4.928 | 0.291 | -16.921 | 1.318e - 05 |

β
_{1}
| -1.293 | 0.593 | -2.181 | 0.0810 |

β
_{2}
| -1.956 | 0.738 | -2.650 | 0.0454 |

Model 2: | Hypothetical Biom. |
= 1.254e - 03
| df = 4 | |

Coefficients | Estimate | (s.e) | t-value | p-value |

β
_{0}
| -4.167 | 0.608 | -6.851 | 1.012e-03 |

β
_{1}
| -1.423 | 0.611 | -2.328 | 0.0674 |

β
_{2}
| -2.031 | 0.752 | -2.700 | 0.0428 |

β
_{3}
| -1.365 | 1.028 | -1.328 | 0.2417 |