A Competing Risk Model for Bond Strength Data Analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F20%3A00532232" target="_blank" >RIV/67985807:_____/20:00532232 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11110/20:10417405 RIV/00064165:_____/20:10417405
Result on the web
<a href="http://dx.doi.org/10.1016/j.dental.2020.09.004" target="_blank" >http://dx.doi.org/10.1016/j.dental.2020.09.004</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.dental.2020.09.004" target="_blank" >10.1016/j.dental.2020.09.004</a>
Alternative languages
Result language
angličtina
Original language name
A Competing Risk Model for Bond Strength Data Analysis
Original language description
Objectives: A competing risk (CR) model distinguishing adhesive, cohesive and mixed failures as competing events was used for the analysis of micro-tensile bond strength (μTBS) data and compared with a conventional failure mode non-distinguishing survival model. Methods: Fifty human molars were bonded using five universal adhesives (n = 10) and subdivided according to aging conditions (24-h water storage, thermocycling). After μTBS to dentin was tested, a fractographic analysis was performed using scanning electron microscopy. Survival analyses of the μTBS data were performed using both a failure mode distinguishing Weibull CR model, and a conventional failure mode non-distinguishing Weibull model. Weibull shape (m) and scale (σθ) parameters were calculated for both models using the maximum likelihood estimation method, and strength at 10 % probability of failure, σ0.10, was estimated. Groups were compared using 95 % confidence intervals. Results: CR-model estimates of σθ and σ0.10 for adhesive failures were higher than those of the conventional model, more markedly in groups with lower percentages of adhesive failures. CR-model strength estimates for cohesive failures were similar in all groups regardless of their bond strengths and failure mode distributions.Significance: Merging all bond-strength data into one dataset irrespective of the failure mode may result in a severe underestimation of bond strength, especially in groups with low incidence of adhesive failures. Bond-strength data analysis using a CR model could provide more accurate estimates of bond strength, and strength estimates for cohesive failures which were apparently independent of bond strength could serve as an internal validity indicator of the CR model.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Dental Materials
ISSN
0109-5641
e-ISSN
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Volume of the periodical
36
Issue of the periodical within the volume
12
Country of publishing house
GB - UNITED KINGDOM
Number of pages
8
Pages from-to
1508-1515
UT code for WoS article
000594263300003
EID of the result in the Scopus database
2-s2.0-85090942844