A study on variances in multivariate analyses of oral implant outcome.
Journal article, 2007
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.
Risk Factors
Aged
Databases
pathology
statistics & numerical data
Male
Confidence Intervals
Models
Aged
Female
Life Tables
Middle Aged
Humans
statistics & numerical data
Adult
Treatment Outcome
Dental Research
pathology
Bone Resorption
Dental Restoration Failure
Jaw Diseases
Dental Implants
80 and over
Bone Density
Linear Models
statistics & numerical data
Multicenter Studies
Statistical
Adolescent
Author
Irene Herrmann
University of Gothenburg
Christina Kultje
Sture Holm
University of Gothenburg
Chalmers, Mathematical Sciences, Mathematical Statistics
Ulf Lekholm
University of Gothenburg
Clinical Implant Dentistry and Related Research
1523-0899 (ISSN) 17088208 (eISSN)
Vol. 9 1 6-14Subject Categories
Dentistry
DOI
10.1111/j.1708-8208.2006.00026.x
PubMed
17362492