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11.1: Growth model with missing data using a missing data correlate |
ex11.1 |
ex11.1.inp |
ex11.1.dat |
mcex11.1 |
mcex11.1.inp |

11.2: Descriptive statistics and graphics related to dropout in a longitudinal study |
ex11.2 |
ex11.2.inp |
ex11.2.dat |
mcex11.2 |
mcex11.2.inp |

11.3: Modeling with data not missing at random (NMAR) using the Diggle-Kenward selection model |
ex11.3 |
ex11.3.inp |
ex11.3.dat |
mcex11.3 |
mcex11.3.inp |

11.4: Modeling with data not missing at random (NMAR) using a pattern-mixture model |
ex11.4 |
ex11.4.inp |
ex11.4.dat |
mcex11.4 |
mcex11.4.inp |

11.5: Multiple imputation for a set of variables with missing values |
ex11.5 |
ex11.5.inp |
ex11.5.dat |
mcex11.5 |
mcex11.5.inp |

11.6: Multiple imputation followed by the estimation of a growth model using maximum likelihood |
ex11.6 |
ex11.6.inp |
ex11.6.dat |
mcex11.6 |
mcex11.6.inp |

11.7: Multiple imputation of plausible values using Bayesian estimation of a growth model |
ex11.7 |
ex11.7.inp |
ex11.7.dat |
mcex11.7 |
mcex11.7.inp |

11.8: Multiple imputation using a two-level factor model with categorical outcomes followed by the estimation of a growth model (part 1) |
ex11.8part1 |
ex11.8part1.inp |
ex11.8.dat |
mcex11.8part1 |
mcex11.8part1.inp |

11.8: Multiple imputation using a two-level factor model with categorical outcomes followed by the estimation of a growth model (part 2) |
ex11.8part2 |
ex11.8part2.inp |
ex11.8implist.dat |
none |
none |

11.8: Multiple imputation using a two-level factor model with categorical outcomes followed by the estimation of a growth model (part 3) |
ex11.8part3 |
ex11.8part3.inp |
ex11.8implist.dat |
none |
none |