## Abstract

Population attributable risk estimates offer a method of combining information on population exposure and disease risk factors into a single measure. Univariate and multivariable methods exist for calculating point estimates and variances under the assumption of equal sampling probabilities. National Animal Health Monitoring System national studies typically use a complex survey design (where selection probabilities vary by design strata), which makes use of these methods of calculating variance inappropriate. We suggest the use of a method called "delete-a-group" jackknife to estimate the variance of population attributable risk when a complex survey design has been implemented. We demonstrate the method using an example of Johne's disease. Advantages of the "delete-a-group" jackknife method include simplicity of implementation and flexibility to estimate variance for any point estimate of interest. Published by Elsevier Science B.V.

Original language | English (US) |
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Pages (from-to) | 1-13 |

Number of pages | 13 |

Journal | Preventive Veterinary Medicine |

Volume | 48 |

Issue number | 1 |

DOIs | |

State | Published - Jan 17 2001 |

## Keywords

- Estimation
- Johne's disease
- National Animal Health Monitoring System
- Population attributable risk
- Variance