2007
DOI: 10.1016/j.jclinepi.2006.11.008
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Readers should systematically assess methods used to identify, measure and analyze confounding in observational cohort studies

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Cited by 31 publications
(28 citation statements)
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“…The clogit command fits conditional (fixed effects) logistic regression models to matched case-control or cohort groups. We included three confounders (low income, single, and immigrant status) on theoretical grounds, based on related work in severe mental illness, 20,27 and also tested whether they were each independently associated with either case (epilepsy diagnosis) or control and outcome measures, respectively, in univariate analyses at the 5% level of significance 28 …”
Section: Methodsmentioning
confidence: 99%
“…The clogit command fits conditional (fixed effects) logistic regression models to matched case-control or cohort groups. We included three confounders (low income, single, and immigrant status) on theoretical grounds, based on related work in severe mental illness, 20,27 and also tested whether they were each independently associated with either case (epilepsy diagnosis) or control and outcome measures, respectively, in univariate analyses at the 5% level of significance 28 …”
Section: Methodsmentioning
confidence: 99%
“…Among the general population and sibling controls, violent crime was counted only if it occurred after the date of diagnosis in the matched cases. We included three confounders (low income, single, and immigrant status) on theoretical grounds, based on related work in severe mental illness [35],[41], and also tested whether they were each independently associated with caseness and violent crime, respectively, in univariate analyses at the 5% level of significance [42]. In a further analysis, we additionally adjusted for comorbid substance abuse.…”
Section: Methodsmentioning
confidence: 99%
“…It is not ruled out the construction of a Cox regression model for mental health, overburden, and establishment of the corresponding hazard ratio according to predictor variables related to the type of assistance received and factors of the caregiver. In order to control possible confounding factors, it shall be applied the criterion of in regards to the data analysis [34]. …”
Section: Methodsmentioning
confidence: 99%