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A study on variances in multivariate analyses of oral implant outcome.

Artikel i vetenskaplig tidskrift
Författare Irene Herrmann
Christina Kultje
Sture Holm
Ulf Lekholm
Publicerad i Clinical implant dentistry and related research
Volym 9
Nummer/häfte 1
Sidor 6-14
ISSN 1523-0899
Publiceringsår 2007
Publicerad vid Institutionen för odontologi
Institutionen för matematiska vetenskaper, matematisk statistik
Sidor 6-14
Språk en
Länkar dx.doi.org/10.1111/j.1708-8208.2006...
Ämnesord Adolescent, Adult, Aged, Aged, 80 and over, Bone Density, Bone Resorption, pathology, Confidence Intervals, Databases, Dental Implants, statistics & numerical data, Dental Research, statistics & numerical data, Dental Restoration Failure, Female, Humans, Jaw Diseases, pathology, Life Tables, Linear Models, Male, Middle Aged, Models, Statistical, Multicenter Studies, statistics & numerical data, Risk Factors, Treatment Outcome
Ämneskategorier Odontologi

Sammanfattning

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.

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