Evaluating Likelihood Estimation Methods in Multilevel Analysis of Clustered Survey Data

Fagbamigbe, Adeniyi Francis; Bakre, Babatunde Bowale

doi:10.16929/ajas/351.220

Cited by 3 publications

(5 citation statements)

References 13 publications

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“…The multilevel logistic regression was suitable for the study because the individual women being analysed are nested within the clusters, which were the primary sampling unit in the surveys. Also, this method is suitable when there are multiple levels of influence on the outcome variable [26] as obtained in this study, where the individual characteristics are the lower level of influence and the community characteristics are the higher level of influence on delayed childbearing. The significance of the higher level of influence was assessed using the intra-cluster correlation (ICC), which ranges from zero to one, but may be expressed in percentages.…”

Section: Methodsmentioning

confidence: 99%

Socio-demographic factors associated with delayed childbearing in Nigeria

Solanke¹,

Salau²,

Popoola³

et al. 2019

BMC Res Notes

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Objective Delayed childbearing is an emerging public health issue in developing countries compared with more developed countries, where it is already a major clinical and public health concern. Previous studies have mostly focused on either the health risks associated with delayed childbearing or the reasons for it with little done around the socio-demographic factors associated with it in developing countries. The objective of the study was to examine associated socio-demographic factors of delayed childbearing in Nigeria. Results The study used secondary data pooled from 2003 to 2013 Nigeria Demographic and Health Surveys. The outcome variable was delayed childbearing. The explanatory variables are selected individual socio-demographic characteristics and community characteristics. A weighted sample size of 20,550 women was analysed. Results showed a prevalence of 8.0% delayed childbearing in Nigeria. Socio-demographic factors such as higher maternal education, age at first marriage of 25 years or older, modern contraceptive use, and remarriage status were significantly associated with delayed childbearing. Significant associations were also observed with high community literacy level and high proportion of women who ever used modern contraceptive in the community.

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Section: Methodsmentioning

confidence: 99%

Socio-demographic factors associated with delayed childbearing in Nigeria

Solanke¹,

Salau²,

Popoola³

et al. 2019

BMC Res Notes

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“…Also, v ji are the observation-level errors with density φ(.). In the PH models, the model contains the covariates which have a multiplicative effect on the hazard function in Eq (7).…”

Section: Mixed-effects Parametric Survival Modelsmentioning

confidence: 99%

“…Survival regression methods are commonly used to explore heterogeneity among subjects in medical research [1] and to estimate prognostic factors for survival [2][3][4][5][6]. However, one of the major challenges in survival analysis modelling is clustering among followed subjects, otherwise known as frailty [7,8]. The concept of frailty is an issue of discourse in statistical modelling, including survival analysis.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2021

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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<0.001) and 2 times (aHR = 2.338; 95% CI: 1.553–3.519, p<0.001) higher among patients with full- and partial-jaw restorations than those with single crowns. Flexible parametric survival model with frailty are the most suitable for modelling implant complications among the studied patients.

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“…Also, v ji are the observation-level errors with density φ(.). In the PH models, the model contains the covariates which have a multiplicative effect on the hazard function in Eq (7).…”

Section: Mixed-effects Parametric Survival Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Evaluating Likelihood Estimation Methods in Multilevel Analysis of Clustered Survey Data

Cited by 3 publications

References 13 publications

Socio-demographic factors associated with delayed childbearing in Nigeria

Socio-demographic factors associated with delayed childbearing in Nigeria

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

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