Skip to main content

Table 1 Contingency analysis

From: Potential risk factors for early and late dental implant failure: a retrospective clinical study on 9080 implants

  Pearson’s chi-square (χ2) P value Phi (Φ) contingency coefficient Cramers V
Age 5.743 0.017 0.147  
Gender 0.014 0.904 0.007  
Jaw 13.358 0.001 0.224  
Location 6.635 0.383 0.053  
Length 13.554 0.004   0.197
Diameter 2.510 0.474   0.085
CVD 1.355 0.244 0.071  
Diabetes mellitus 0.707 0.400 0.052  
Comorbidity 4.741 0.029 0.134  
  1. The table shows the computation of Pearson’s chi-square (χ2) test, which was performed to check the correlation between the variables. As chi-square test lacks standardization, correlative measures like Phi (Φ) contingency coefficient (four fields table) and Cramers V (≥ 4 cases) were used to demonstrate the strength of association between the groups. A value of ≥ 0.1 was defined as a low association, a value of ≥ 0.3 up to < 0.5 as medium strength of association, and a value ≥ 0.5 as a strong association between the groups. A p value ≤ 0.05 was termed significant