A study on variances in multivariate analyses of oral implant outcome.
Artikel i vetenskaplig tidskrift, 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

Författare

Irene Herrmann

Göteborgs universitet

Christina Kultje

Sture Holm

Göteborgs universitet

Chalmers, Matematiska vetenskaper, matematisk statistik

Ulf Lekholm

Göteborgs universitet

Clinical Implant Dentistry and Related Research

1523-0899 (ISSN)

Vol. 9 1 6-14

Ämneskategorier

Odontologi

DOI

10.1111/j.1708-8208.2006.00026.x

PubMed

17362492