2012
DOI: 10.1080/01621459.2012.664484
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Meta-Analysis of Rare Binary Adverse Event Data

Abstract: We examine the use of fixed-effects and random-effects moment-based meta-analytic methods for analysis of binary adverse event data. Special attention is paid to the case of rare adverse events which are commonly encountered in routine practice. We study estimation of model parameters and between-study heterogeneity. In addition, we examine traditional approaches to hypothesis testing of the average treatment effect and detection of the heterogeneity of treatment effect across studies. We derive three new meth… Show more

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Cited by 118 publications
(229 citation statements)
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References 32 publications
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“…Among 186 reported pregnancies, 33 resulted in spontaneous abortion, with a calculated overall crude risk of 17.7% (95% CI, [13][14][15][16][17][18][19][20][21][22][23][24]. We found no case-control studies.…”
Section: Fetal Outcomes In Women With Previous Cvtmentioning
confidence: 42%
See 2 more Smart Citations
“…Among 186 reported pregnancies, 33 resulted in spontaneous abortion, with a calculated overall crude risk of 17.7% (95% CI, [13][14][15][16][17][18][19][20][21][22][23][24]. We found no case-control studies.…”
Section: Fetal Outcomes In Women With Previous Cvtmentioning
confidence: 42%
“…15 Nevertheless, meta-analysis of proportions was also conducted, and it is available in the online-only Data Supplement. A random effect model for pooling proportions was used, with a continuity correction of 0.5.…”
Section: Synthesis Of Results/statistical Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…Confidence intervals (CIs) were based on the normal approximation and calculated using the number of posts and post years of follow-up. A constant 0.5 continuity correction was used for studies with 0 events (9).…”
Section: Data Synthesis and Analysismentioning
confidence: 99%
“…However, synthesizing evidence on harms poses unique challenges. The assessment and reporting of harms is often suboptimal, [1][2][3] studies are often too short to evaluate important long-term harms and have inadequate statistical power to evaluate serious but uncommon harms, 5,6 patients enrolled in research studies are frequently at lower risk for harms than those encountered in clinical practice, 7 potentially resulting in underestimation of harms, and important data on harms may be unpublished or selectively reported. [9][10][11] In 2005, AHRQ funded a series of white papers on challenges in evidence synthesis that included an article on evaluation of harms.…”
Section: Introductionmentioning
confidence: 99%