Measurement Error and Unmeasured Confounding

meuc | Fit Poolwise Regression Models |

ml_linear_linear | Maximum Likelihood with Linear Regression Disease Model and... |

ml_linear_logistic | Maximum Likelihood with Linear Regression Disease Model and... |

ml_linear_logistic_linear | Maximum Likelihood with Three Models: Linear Regression,... |

ml_linear_loglinear | Maximum Likelihood with Linear Regression Disease Model and... |

ml_logistic_linear | Maximum Likelihood with Logistic Regression Disease Model and... |

ml_logistic_logistic | Maximum Likelihood with Logistic Regression Disease Model and... |

ml_logistic_logistic_linear | Maximum Likelihood with Three Models: Logistic Regression,... |

ml_logistic_logistic_loglinear | Maximum Likelihood with Three Models: Logistic Regression,... |

ml_logistic_loglinear | Maximum Likelihood with Logistic Regression Disease Model and... |

psc_algebraic | Propensity Score Calibration (Algebraic Method) |

psc_algebraic_d | Propensity Score Calibration with Extra D Variable to Relax... |

psc_cond_exp | Propensity Score Calibration (Conditional Expectation Method) |

rc_algebraic | Regression Calibration (Algebraic Method) |

rc_cond_exp | Regression Calibration (Conditional Expectation Method) |

rc_cond_exp_loglinear | Regression Calibration with Loglinear Measurement Error Model |

rc_greenland | Regression Calibration with Internal Validation Data and One... |

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