Tracking and follow-up of 16,915 adolescents: Minimizing attrition bias
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2012, Journal of Clinical EpidemiologyCitation Excerpt :Future studies should endeavor to satisfy a maximal number of criteria from current quality assessment checklists. Attrition, or the loss of participants over the course of a study, can potentially bias effect estimates [1], threaten validity [2,3], and reduce statistical power [4,5]. When attrition is minimal, the foundation for making strong statements rather than using presumptions based on statistical adjustments is enhanced [6,7].
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