A comparison of goodness of fit tests for the logistic GEE model

Evans, Scott; Li, Lingling

doi:10.1002/sim.2023

Cited by 44 publications

(37 citation statements)

References 19 publications

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“…Model fit was assessed by means of generalized Pearson residuals. 22 Multivariate analysis demonstrated a relationship between advancing age and 90-day mortality ( Table 4). Even after adjusting for patient demographics, comorbidity, source and urgency of admission, type of operation, postoperative complications, hospital volume, and discharge year, there was at least a 2-fold increase in the odds of early death for each 5-year incremental increase in age beyond 80 years.…”

Section: Discussionmentioning

confidence: 97%

Impact of Advancing Age on Abdominal Surgical Outcomes

Massarweh¹

2009

Arch Surg

149

117

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Section: Discussionmentioning

confidence: 97%

Impact of Advancing Age on Abdominal Surgical Outcomes

Massarweh¹

2009

Arch Surg

149

117

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“…Model fit was assessed using generalized Pearson residuals. 20 Kaplan-Meier survival curves were generated and stratified by age to determine 5-year survival based on hospital discharge location …”

Section: Discussionmentioning

confidence: 99%

The Significance of Discharge to Skilled Care After Abdominopelvic Surgery in Older Adults

Legner¹,

Massarweh²,

Symons³

et al. 2009

Annals of Surgery

104

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Advancing age and postoperative complications are associated with the risk of discharge to an ICF after abdominopelvic operations. Patients discharged to an ICF are much more likely to die within the first postoperative year and ICF disposition should be considered as either a marker of debility and/or a component of patient decline. These findings may be helpful while counseling patients regarding the expected outcomes of ICF placement after surgical intervention.

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“…Use of the within-subject hypoplasia score in regression models gives insight into differences between hypoplastic teeth vs. nonhypoplastic teeth within the same subject [Mancl et al, 2000]. Logistic generalized estimating equation models (GEE) [Evans and Li, 2005] were used for binary outcomes (yes/no), and negative binomial GEE models for count outcomes (d 2-3 fs). All statistical tests were conducted using SAS 9.1 for Windows, with p values below 0.05 being considered as statistically significant.…”

Section: Enamel Hypoplasia and Caries Experience Of Primary Second Momentioning

confidence: 99%

Association between Enamel Hypoplasia and Dental Caries in Primary Second Molars: A Cohort Study

Hong

Levy²,

Warren³

et al. 2009

Caries Res

115

126

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poplasia had a significantly higher risk for caries at age 5 and 9 after controlling for other risk factors. Enamel hypoplasia appears to be a significant risk factor for caries and should be considered in caries risk assessment. Copyright © 2009 S. Karger AG, Basel Developmental enamel defects are disturbances during enamel formation and may be manifested as enamel hypoplasia or opacities. Enamel hypoplasia is a quantitative defect associated with reduced thickness of enamel formed during the secretory stage of amelogenesis [Suckling, 1989;Seow, 1991]. Developmental enamel defects, such as hypoplasia, have been speculated to increase the risk of dental caries in the affected teeth [Pascoe and Seow, 1994;Li et al., 1996;Lai et al., 1997]. Defective enamel sites (hypoplasia or hypocalcification) may provide suitable local environment for adhesion and colonization of cariogenic bacteria, and bacteria may retain at the base of the defect in contact with exposed dentin, thus dental caries on these defective sites may develop more rapidly [Li et al., 1996]. Defective enamel has higher acid solubility than normal enamel and is more susceptible to caries attack [Zheng et al., 1998]. The association between enamel hypoplasia and dental caries has been reported in several cross-sectional studies [Matee et al., 1994;Pascoe and Seow, 1994;Li et al., 1996;Ellwood and O'Mullane, 1996; Key Words Dental caries ؒ Enamel hypoplasia ؒ Primary teeth AbstractThe purpose of this study was to assess the longitudinal relationships between enamel hypoplasia and caries experience of primary second molars. The study sample was 491 subjects who received dental examinations at both age 5 and 9 by the calibrated examiners. Four primary second molars (n = 1,892) were scored for the presence of enamel hypoplasia for each participant. Caries presence and number of decayed and filled surfaces (dfs) were determined at age 5 and 9. The relationships between enamel hypoplasia and caries experience were assessed. Among primary second molars, 3.9% of children and 1.7% of primary second molars had enamel hypoplasia. At age 5, 36.8% of children with hypoplasia had caries, while 16.9% of children without enamel hypoplasia had caries. At age 9, the corresponding numbers were 52.6% for children with hypoplasia and 34.5% for children without hypoplasia, respectively. At the tooth level, for age 5, 28.1% of teeth with hypoplasia had caries (mean dfs = 0.40), and 7.6% of teeth without hypoplasia had caries (mean dfs = 0.11). At age 9, the corresponding numbers were 41.9% (mean dfs = 0.76) for teeth with hypoplasia and 18.3% (mean dfs = 0.34) for teeth without hypoplasia. In multivariable logistic regression analyses, teeth of subjects with enamel hy-

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A comparison of goodness of fit tests for the logistic GEE model

Cited by 44 publications

References 19 publications

Impact of Advancing Age on Abdominal Surgical Outcomes

Impact of Advancing Age on Abdominal Surgical Outcomes

The Significance of Discharge to Skilled Care After Abdominopelvic Surgery in Older Adults

Association between Enamel Hypoplasia and Dental Caries in Primary Second Molars: A Cohort Study

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