## Survival Models and Data AnalysisSurvival analysis deals with the distribution of life times, essentially the times from an initiating event such as birth or the start of a job to some terminal event such as death or pension. This book, originally published in 1980, surveys and analyzes methods that use survival measurements and concepts, and helps readers apply the appropriate method for a given situation. Four broad sections cover introductions to data, univariate survival function, multiple-failure data, and advanced topics. |

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### Contents

MEASURES OF MORTALITY AND MORBIDITY RATIOS | 9 |

SURVIVAL DISTRIBUTIONS | 50 |

FUNDAMENTALS AND CONSTRUCTION | 83 |

COMPLETE MORTALITY DATA ESTIMATION OF SURVIVAL | 128 |

FOLLOWUP STUDIES | 150 |

FITTING PARAMETRIC SURVIVAL DISTRIBUTIONS | 181 |

Method for Ungrouped Data | 196 |

COMPARISON OF MORTALITY EXPERIENCES | 225 |

MULTIPLE DECREMENT LIFE TABLES | 294 |

SINGLE DECREMENT LIFE TABLES ASSOCIATED WITH MULTIPLE | 309 |

ESTIMATION AND TESTING HYPOTHESES IN COMPETING RISK | 323 |

CONCOMITANT VARIABLES IN LIFETIME DISTRIBUTIONS MODELS | 345 |

AGE OF ONSET DISTRIBUTIONS | 392 |

MODELS OF AGING AND CHRONIC DISEASES | 414 |

443 | |

PROBABILISTIC APPROACH | 269 |

### Other editions - View all

Survival Models and Data Analysis Regina C. Elandt-Johnson,Norman L. Johnson No preview available - 2014 |

### Common terms and phrases

abridged life table actuarial age group apply assume assumptions Biometrics calculate cancer causes of death Chapter Chi-square clinical trials cohort competing risks concomitant variables conditional probability construct corresponding covariables death rate decrement life table defined discussed disease Elandt-Johnson entry evaluate exact age Example expected number expected value exponential distribution exposed to risk failure fitting force of mortality formula given in Table Gompertz distribution hazard function hazard rate interval joint SDF likelihood function location-scale family maximum likelihood estimators method mortality data mortality experience notation Note null hypothesis number of deaths number of individuals obtain onset distribution parameters person-years population probability of death proportion random variable ratio recorded represent sample SDF's Section select period specific Statistics Suppose survival analysis survival data survival distribution survival function Sx(x tion treatment truncated values variance Weibull Weibull distribution White Males withdrawal