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. 2010 Apr 21;5(4):e10274. doi: 10.1371/journal.pone.0010274

Table 2. Regression quasi-Poisson univariate and multivariate models of the effects of independent variables on the annual failure rate of dental implants.

Category Univariate Quasi-Poisson Multivariate Quasi-Poisson
OR CI 95% p-value OR CI 95% p-value
Study Age 1.07 [0.98–1.16] 0.085 1.12 [1.06–1.19] 0.002
Number of Implants 1.00 [0.99–1.00] 0.424
Impact Factor 0.90 [0.61–1.33] 0.549
Periodontal Status Report No 1
Yes 0.90 [0.33–2.45] 0.812
Prosthetic Design ITS-FPD 1
IS-FPD 0.56 [0.34–0.91]
IS-SC 0.34 [0.15–0.77] 0.023
Quality Score LRB 1
RB 0.81 [0.47–1.41] 0.427
Statistical Advisor No 1
Yes 1.54 [0.95–2.50] 0.082
Funding Source Non-Industry Associated 1 1
Industry Associated 0.32 [0.17–0.60] 0.21 [0.12–0.38]
Unknown 0.37 [0.21–0.63] 0.005 0.33 [0.21–0.51] <0.001