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. 2019 Apr 3;22(3):684. doi: 10.1093/biostatistics/kxz008

Corrigendum: Analysis of cluster-randomized test-negative designs: cluster-level methods

Nicholas P Jewell 1,, Suzanne Dufault 2, Zoe Cutcher 3, Cameron P Simmons 3, Katherine L Anders 3
PMCID: PMC8035991  PMID: 30942383

Biostatistics (2019) 20, 2, pp. 332–346

doi:10.1093/biostatistics/kxy005

In the original article, there were errors in simulation calculations that have since been corrected. Table 2 has now been amended.

Table 2.

The proportion of simulations that returned significant results for each intervention effect of interest (Inline graphic)

Relative risk (Inline graphic) Test-positive fraction Odds ratio GEE Random effects
1 0.0497 0.0749 0.0779 0.0743
0.6 0.4916 0.5795 0.5936 0.6143
0.5 0.7498 0.8238 0.8266 0.8445
0.4 0.9298 0.9620 0.9603 0.9670
0.3 0.9951 0.9985 0.9983 0.9988

The GEE assumed an exchangeable correlation matrix. Each approach was applied to the results of the 10 000 random intervention allocations with 1000 cases and 4000 controls (Inline graphic).

The corrected table appears below.


Articles from Biostatistics (Oxford, England) are provided here courtesy of Oxford University Press

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