## Biostatistics for EpidemiologistsBiostatistics for Epidemiologists is a unique book that provides a collection of methods that can be used to analyze data in most epidemiological studies. It examines the theoretical background of the methods described and discusses general principles that apply to the analysis of epidemiological data. Specific topics addressed include statistical interference in epidemiological research, important methods used for analyzing epidemiological data, multivariate models, dose-response analysis, analysis of the interaction between causes of disease, meta-analysis, and computer programs. Biostatistics for Epidemiologists will be a useful guide for all epidemiologists and public health professionals who rely on biostatistical data in their work. |

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### Contents

FOREWORD | 1 |

Chapter 3 | 33 |

Chapter 5 | 55 |

Chapter 6 | 61 |

Chapter 7 | 85 |

Chapter 8 | 125 |

Chapter 9 | 137 |

Chapter 10 | 141 |

APPENDIX 2 | 155 |

207 | |

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approximate 95 assume binomially distributed variables Calculate a 95 Calculate the point case-control studies corresponding cumulative incidence defined described diabetes discussed effect modification epidemiologic studies exact confidence intervals example exp(in expected number exposed and unexposed exposure categories Exposure Yes follows formula frequency function hypergeometrical distribution incidence rate individuals interval is calculated limits logarithm transformation logistic regression Mantel-Haenszel estimator Mantel-Haenszel test mean value measure of effect ML-estimate multivariate model myocardial infarction normal distribution approximation null hypothesis number of exposed number of person observed number obtained occurrence of disease odds ratio P-value function parameter value point estimate Poisson distribution prevalence principles probability function probability theory programs random relative risk Rothman significance testing situation statistical inference stochastic variable strata stratification variable stratified analysis stratum specific estimate stratum-specific synergism test variable test-based confidence interval test-based method theoretical total number var(InRR var(RD var(X variance Yes No Total

### Popular passages

Page 208 - Armstrong BG. The problem of multiple inference in studies designed to generate hypotheses.