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Cox proportional hazard model and its application to data analysis of failure of endodontic equipment

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00159816%3A_____%2F17%3A00067626" target="_blank" >RIV/00159816:_____/17:00067626 - isvavai.cz</a>

  • Nalezeny alternativní kódy

    RIV/00216224:14310/17:00095503 RIV/00216208:11110/17:10374530

  • Výsledek na webu

    <a href="http://dx.doi.org/10.5507/bp.2016.063" target="_blank" >http://dx.doi.org/10.5507/bp.2016.063</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.5507/bp.2016.063" target="_blank" >10.5507/bp.2016.063</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Cox proportional hazard model and its application to data analysis of failure of endodontic equipment

  • Popis výsledku v původním jazyce

    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 KaplanMeier&apos;s product limit estimate, estimate of the cumulative hazard function, and Nair&apos;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&apos;s tooth, which can lead to less successful endodontic treatment and thus less satisfactory prognosis.

  • Název v anglickém jazyce

    Cox proportional hazard model and its application to data analysis of failure of endodontic equipment

  • Popis výsledku anglicky

    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 KaplanMeier&apos;s product limit estimate, estimate of the cumulative hazard function, and Nair&apos;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&apos;s tooth, which can lead to less successful endodontic treatment and thus less satisfactory prognosis.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    20602 - Medical laboratory technology (including laboratory samples analysis; diagnostic technologies) (Biomaterials to be 2.9 [physical characteristics of living material as related to medical implants, devices, sensors])

Návaznosti výsledku

  • Projekt

    Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

  • Návaznosti

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Ostatní

  • Rok uplatnění

    2017

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    BIOMEDICAL PAPERS-OLOMOUC

  • ISSN

    1213-8118

  • e-ISSN

  • Svazek periodika

    161

  • Číslo periodika v rámci svazku

    S1

  • Stát vydavatele periodika

    CZ - Česká republika

  • Počet stran výsledku

    11

  • Strana od-do

    "S1"-"S11"

  • Kód UT WoS článku

    000428945000001

  • EID výsledku v databázi Scopus