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Performance evaluation of survival regression models in analysing Swedish dental implant complication data with frailty

Research output: Contribution to journalArticlepeer-review

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Performance evaluation of survival regression models in analysing Swedish dental implant complication data with frailty. / Fagbamigbe, Adeniyi Francis; Karlsson, Karolina; Derks, Jan; Petzold, Max.

In: PLoS ONE, Vol. 16, No. 1, e0245111, 07.01.2021.

Research output: Contribution to journalArticlepeer-review

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Fagbamigbe, AF, Karlsson, K, Derks, J & Petzold, M 2021, 'Performance evaluation of survival regression models in analysing Swedish dental implant complication data with frailty', PLoS ONE, vol. 16, no. 1, e0245111. https://doi.org/10.1371/journal.pone.0245111

APA

Fagbamigbe, A. F., Karlsson, K., Derks, J., & Petzold, M. (2021). Performance evaluation of survival regression models in analysing Swedish dental implant complication data with frailty. PLoS ONE, 16(1), [e0245111]. https://doi.org/10.1371/journal.pone.0245111

Vancouver

Fagbamigbe AF, Karlsson K, Derks J, Petzold M. Performance evaluation of survival regression models in analysing Swedish dental implant complication data with frailty. PLoS ONE. 2021 Jan 7;16(1). e0245111. https://doi.org/10.1371/journal.pone.0245111

Author

Fagbamigbe, Adeniyi Francis ; Karlsson, Karolina ; Derks, Jan ; Petzold, Max. / Performance evaluation of survival regression models in analysing Swedish dental implant complication data with frailty. In: PLoS ONE. 2021 ; Vol. 16, No. 1.

Bibtex - Download

@article{96b344a577c44601a3adfe47bf3ba2b7,
title = "Performance evaluation of survival regression models in analysing Swedish dental implant complication data with frailty",
abstract = "The use of inappropriate methods for estimating the effects of covariates in survival data with frailty leads to erroneous conclusions in medical research. This study evaluated the performance of 13 survival regression models in assessing the factors associated with the timing of complications in implant-supported dental restorations in a Swedish cohort. Data were obtained from randomly selected cohort (n = 596) of Swedish patients provided with dental restorations supported in 2003. Patients were evaluated over 9 years of implant loss, peri-implantitis or technical complications. Best Model was identified using goodness, AIC and BIC. The loglikelihood, the AIC and BIC were consistently lower in flexible parametric model with frailty (df = 2) than other models. Adjusted hazard of implant complications was 45% (adjusted Hazard Ratio (aHR) = 1.449; 95% Confidence Interval (CI): 1.153–1.821, p = 0.001) higher among patients with periodontitis. While controlling for other variables, the hazard of implant complications was about 5 times (aHR = 4.641; 95% CI: 2.911–7.401, p",
author = "Fagbamigbe, {Adeniyi Francis} and Karolina Karlsson and Jan Derks and Max Petzold",
year = "2021",
month = jan,
day = "7",
doi = "10.1371/journal.pone.0245111",
language = "English",
volume = "16",
journal = "PLoS One",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "1",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Performance evaluation of survival regression models in analysing Swedish dental implant complication data with frailty

AU - Fagbamigbe, Adeniyi Francis

AU - Karlsson, Karolina

AU - Derks, Jan

AU - Petzold, Max

PY - 2021/1/7

Y1 - 2021/1/7

N2 - The use of inappropriate methods for estimating the effects of covariates in survival data with frailty leads to erroneous conclusions in medical research. This study evaluated the performance of 13 survival regression models in assessing the factors associated with the timing of complications in implant-supported dental restorations in a Swedish cohort. Data were obtained from randomly selected cohort (n = 596) of Swedish patients provided with dental restorations supported in 2003. Patients were evaluated over 9 years of implant loss, peri-implantitis or technical complications. Best Model was identified using goodness, AIC and BIC. The loglikelihood, the AIC and BIC were consistently lower in flexible parametric model with frailty (df = 2) than other models. Adjusted hazard of implant complications was 45% (adjusted Hazard Ratio (aHR) = 1.449; 95% Confidence Interval (CI): 1.153–1.821, p = 0.001) higher among patients with periodontitis. While controlling for other variables, the hazard of implant complications was about 5 times (aHR = 4.641; 95% CI: 2.911–7.401, p

AB - The use of inappropriate methods for estimating the effects of covariates in survival data with frailty leads to erroneous conclusions in medical research. This study evaluated the performance of 13 survival regression models in assessing the factors associated with the timing of complications in implant-supported dental restorations in a Swedish cohort. Data were obtained from randomly selected cohort (n = 596) of Swedish patients provided with dental restorations supported in 2003. Patients were evaluated over 9 years of implant loss, peri-implantitis or technical complications. Best Model was identified using goodness, AIC and BIC. The loglikelihood, the AIC and BIC were consistently lower in flexible parametric model with frailty (df = 2) than other models. Adjusted hazard of implant complications was 45% (adjusted Hazard Ratio (aHR) = 1.449; 95% Confidence Interval (CI): 1.153–1.821, p = 0.001) higher among patients with periodontitis. While controlling for other variables, the hazard of implant complications was about 5 times (aHR = 4.641; 95% CI: 2.911–7.401, p

U2 - 10.1371/journal.pone.0245111

DO - 10.1371/journal.pone.0245111

M3 - Article

VL - 16

JO - PLoS One

JF - PLoS One

SN - 1932-6203

IS - 1

M1 - e0245111

ER -

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