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A study on variances in multivariate analyses of oral implant outcome
Irene Herrmann1, Christina Kultje, Sture Holm
1Department of Oral and Maxillofacial Surgery, The Sahlgrenska Academy, Göteborg University, Göteborg, Sweden. irene.herrmann@lifecore.com
Background:
Elaborate studies have shown that interdependency exists between implants being placed in the same patient/jaw. Therefore, interdependency ought to be an important aspect to address, whenever performing statistical analyses of oral implant outcomes. A Jackknife method could be an option when conducting statistical evaluations of oral implant failure prognoses.
Purpose:
The aim of this study was to evaluate whether a statistical difference can be detected by using the Jackknife method in conjunction with life table analyses and/or a log rank test of four different combinations of jaw density and quantity.
Materials And Methods:
Four multicenter studies were pooled and adjusted in order to create a research database consisting of 486 patients and 1,737 implants in preparation for the Jackknife resampling method. Combinations of jaw shapes and bone qualities were constructed to select at-risk patients.
Statistical Methods:
Life tables with confidence intervals were calculated and a log rank test was used to determine whether a statistical difference between the combinations could be established.
Results:
Both statistical analyses, after the Jackknife resampling method, showed that patients with poor bone quality and resorbed jaws (combination IV) had a statistically higher risk of implant failure.
Conclusion:
By rearranging data using the Jackknife method, standardized statistical tests seem to work well even when the study population tested was affected by interdependency.