Detailed Information on Publication Record
2017
Cox proportional hazard model and its application to data analysis of failure of endodontic equipment
BENDOVÁ, Veronika, Michal BUMBALEK and Stanislav KATINABasic information
Original name
Cox proportional hazard model and its application to data analysis of failure of endodontic equipment
Authors
BENDOVÁ, Veronika (203 Czech Republic, belonging to the institution), Michal BUMBALEK and Stanislav KATINA (703 Slovakia, guarantor, belonging to the institution)
Edition
BIOMEDICAL PAPERS-OLOMOUC, Olomouc, Univerzita Palackého v Olomouci, 2017, 1213-8118
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
10103 Statistics and probability
Country of publisher
Czech Republic
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 1.087
RIV identification code
RIV/00216224:14310/17:00095503
Organization unit
Faculty of Science
UT WoS
000428945000001
Keywords in English
Cox proportional hazards model; Mtwo; Ni-Ti endodontic equipment; ProTaper; R software; Revo-S; Wizard navigator
Tags
International impact, Reviewed
Změněno: 27/4/2018 09:09, Ing. Nicole Zrilić
Abstract
V originále
Background and Aims. A very common statistical method used in statistical analysis of medical data is the Cox proportional hazard model (Cox model). The aim of this paper is to describe statistical data analysis as a process beginning with data management, followed by statistical coding and statistical analysis, including survival analysis and the Cox model, and finishing with the interpretation of results. The methods are applied to the data from stomatology - the influence of selected variables on the fracture of endodontic equipment. Statistical analyses were performed in R. Methods. Exploratory analysis and visualization methods are firstly presented. The survival analysis methods of Kaplan- Meier's product limit estimate, estimate of the cumulative hazard function, and Nair's 95% confidence bands are then calculated. Finally, the conditional hazard is modelled with the Cox model where regression parameters are tested with the Wald test and the proportionality of hazard with the Schoenfeld test. Results. In the Cox model, covariates influencing the fracture of endodontic equipment, the radius of the dental canal, the size and brand of the endodontic equipment (Mtwo, ProTaper, Revo-S, and Wizard Navigator) were used. The regression parameters of the radius of the dental canal and endodontic equipment size proved to be statistically significant. Compared to the reference brand Mtwo endodontic equipment, the regression parameters of the ProTaper and Revo-S drills proved to be statistically significant. Conclusions. Fracturing endodontic equipment during a root canal treatment often leads to undesirable resting of the tool in the root canal of the patient's tooth, which can lead to less successful endodontic treatment and thus less satisfactory prognosis. The dentist's efforts should allow the use of endodontic equipment for sufficient root canal treatment with minimum risk of fracturing the equipment inside the root system. Removal of the equipment is often very difficult and sometimes fails, resulting in subsequent hermetic closure of the root canal by the root filling not being possible and thereby greatly reducing satisfactory prognosis for the tooth.
Links
| GA15-06991S, research and development project |
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| MUNI/A/1194/2016, interní kód MU |
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