Effects of Stratification on Data Mining in the US Vaccine Adverse Event Reporting System (VAERS)

被引：0
|
作者：
Emily Jane Woo
Robert Ball
Dale R. Burwen
M. Miles Braun
机构：
[1] Center for Biologics Evaluation and Research,US Food and Drug Administration
[2] HFM-222,undefined
[3] US Food and Drug Administration,undefined
来源：
Drug Safety | 2008年 / 31卷
关键词：
Tetanus Toxoid; Pertussis Vaccine; Rubella Virus; Data Mining Method; Proportional Reporting Ratio;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Background: Vaccines are administered differentially according to age and sex, and disease patterns also vary among people of different age and sex groups. Estimates of disproportionality should be calculated based on comparisons of groups that have a similar likelihood of receiving similar vaccines and experiencing similar adverse events, to prevent false disproportionality from occurring. Stratified empirical Bayesian (EB) methods have been compared with crude, but not stratified, proportional reporting ratios (PRRs) in their performance on adverse event data.
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页码：667 / 674
页数：7
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