2015
DOI: 10.1146/annurev-publhealth-031914-122559
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Statistical Foundations for Model-Based Adjustments

Abstract: Most epidemiology textbooks that discuss models are vague on details of model selection. This lack of detail may be understandable since selection should be strongly influenced by features of the particular study, including contextual (prior) information about covariates that may confound, modify, or mediate the effect under study. It is thus important that authors document their modeling goals and strategies and understand the contextual interpretation of model parameters and model selection criteria. To illu… Show more

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Cited by 221 publications
(206 citation statements)
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References 146 publications
(166 reference statements)
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“…Stepwise regression methods were used in the analysis phase: although this is used frequently in epidemiological studies, more recently stepwise methods have been challenged by some research groups, arguing that it should not be used for causal analysis. 36 As in all epidemiological studies, the study might be subject to some residual confounding that was not adjusted for. However, arsenic concentrations-which play an important role in drinking water quality elsewhere in Bangladesh-are low in the areas investigated in this study.…”
Section: Discussionmentioning
confidence: 99%
“…Stepwise regression methods were used in the analysis phase: although this is used frequently in epidemiological studies, more recently stepwise methods have been challenged by some research groups, arguing that it should not be used for causal analysis. 36 As in all epidemiological studies, the study might be subject to some residual confounding that was not adjusted for. However, arsenic concentrations-which play an important role in drinking water quality elsewhere in Bangladesh-are low in the areas investigated in this study.…”
Section: Discussionmentioning
confidence: 99%
“…Each covariate included in the model was tested first using bivariate analyses to evaluate potential confounding [54], and all the tested covariates were significantly associated with active commuting and neighborhood education level and therefore considered as confounders. No confounding factors regarding the relationship between distance to work and active commuting were considered since our main aim was to evaluate whether the neighborhood education level association vary across distance strata, interpreted as measure modification [55].…”
Section: Methodsmentioning
confidence: 99%
“…2009, Lee et al. 2010, Greenland and Pearce 2015). The optimal number of folds (splits) of the data is debated, but 10 is a common choice and there is a trade-off with greater or less folds (Venables and Ripley 1999).…”
Section: Methodsmentioning
confidence: 99%