2013
DOI: 10.1186/1471-2288-13-88
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Testing the proportional hazards assumption in case-cohort analysis

Abstract: BackgroundCase-cohort studies have become common in epidemiological studies of rare disease, with Cox regression models the principal method used in their analysis. However, no appropriate procedures to assess the assumption of proportional hazards of case-cohort Cox models have been proposed.MethodsWe extended the correlation test based on Schoenfeld residuals, an approach used to evaluate the proportionality of hazards in standard Cox models. Specifically, pseudolikelihood functions were used to define “case… Show more

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Cited by 116 publications
(72 citation statements)
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“…Hazard ratios (HR) and 95% confidence intervals (CI) was calculated. The assumption of proportionality was tested by plotting scaled Schoenfeld residuals41. Several multivariable Cox proportional hazard models were built to adjust for the effects of confounding covariates: (1) Model 1: a univariate analysis; (2) Model 2: adjusted for age, sex, time 1–2 and time 2–3 .…”
Section: Methodsmentioning
confidence: 99%
“…Hazard ratios (HR) and 95% confidence intervals (CI) was calculated. The assumption of proportionality was tested by plotting scaled Schoenfeld residuals41. Several multivariable Cox proportional hazard models were built to adjust for the effects of confounding covariates: (1) Model 1: a univariate analysis; (2) Model 2: adjusted for age, sex, time 1–2 and time 2–3 .…”
Section: Methodsmentioning
confidence: 99%
“…The proportional hazards assumption was validated by a goodness-of-test based on scaled Schoenfeld residuals. (10) We stratified by variables for which the proportional hazards assumption did not hold. For all analyses, a two-sided p value <0.05 was considered statistically significant.…”
Section: Methodsmentioning
confidence: 99%
“…All Cox models were computed with robust variance estimation in order to account for the case-cohort design [36,37]. We tested whether all models met the proportional hazard assumption using a published method [38]. Non-linearity using sRAGE as a continuous variable in predicting CRC risk was tested by restricted cubic spline regression [39].…”
Section: Methodsmentioning
confidence: 99%