## Statistical Models in Epidemiology, the Environment, and Clinical TrialsM.Elizabeth Halloran, Donald Berry This IMA Volume in Mathematics and its Applications STATISTICAL MODELS IN EPIDEMIOLOGY, THE ENVIRONMENT,AND CLINICAL TRIALS is a combined proceedings on "Design and Analysis of Clinical Trials" and "Statistics and Epidemiology: Environment and Health. " This volume is the third series based on the proceedings of a very successful 1997 IMA Summer Program on "Statistics in the Health Sciences. " I would like to thank the organizers: M. Elizabeth Halloran of Emory University (Biostatistics) and Donald A. Berry of Duke University (Insti tute of Statistics and Decision Sciences and Cancer Center Biostatistics) for their excellent work as organizers of the meeting and for editing the proceedings. I am grateful to Seymour Geisser of University of Minnesota (Statistics), Patricia Grambsch, University of Minnesota (Biostatistics); Joel Greenhouse, Carnegie Mellon University (Statistics); Nicholas Lange, Harvard Medical School (Brain Imaging Center, McLean Hospital); Barry Margolin, University of North Carolina-Chapel Hill (Biostatistics); Sandy Weisberg, University of Minnesota (Statistics); Scott Zeger, Johns Hop kins University (Biostatistics); and Marvin Zelen, Harvard School of Public Health (Biostatistics) for organizing the six weeks summer program. I also take this opportunity to thank the National Science Foundation (NSF) and the Army Research Office (ARO), whose financial support made the workshop possible. Willard Miller, Jr. |

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### Contents

2 | |

Sections 611 by J M Robins | 31 |

21205 | 91 |

Marginal structural models versus structural nested | 93 |

Nonparametric locally efficient estimation of | 135 |

A | 179 |

Markov chain Monte Carlo methods for clustering | 193 |

A simulation study of the epidemiological impact | 219 |

The use of reference priors and Bayes factors | 237 |

Surrogate endpoints in cancer clinical trials | 251 |

List of Participants | 273 |

### Other editions - View all

Statistical Models in Epidemiology, the Environment, and Clinical Trials M.Elizabeth Halloran,Donald Berry No preview available - 2012 |

Statistical Models in Epidemiology, the Environment, and Clinical Trials M. Elizabeth Halloran,Donald Berry No preview available - 1999 |

### Common terms and phrases

approach assume assumption asymptotic variance Bayes factors Bayesian causal inference censoring clinical trials cluster components consider consistent estimator counterfactual covariates current treatment interaction curse of dimensionality data sets defined denote density dependence efficient influence curve FA(t finite full data function q given hazard identified implies independent influence function joint distribution Kaplan-Meier estimator law Fo lemma likelihood locally efficient estimator logistic logistic regression marginal structural methods missing data non-parametric Note NPI model observed data obtain one-step estimator outcome parameter Poisson regression probability propensity score prostate cancer random effects random variable reference priors restriction Robins Rotnitzky sample selection bias selection bias function selection odds model semiparametric model sensitivity analysis simulation SNDM SNMM spatial Specifically Statistics structural nested surrogate endpoints tangent space Theorem therapy time-dependent tion unmeasured confounders values variance vector zero