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Studies in which patients are observed on several occasions over a period of time are particularly common in medical research. Most clinical trials, for example, are of this format. The characteristic feature of such studies is that multiple measurements of a response variable are obtained at a set of time points for each participant in the study. There are two main difficulties in the analysis of data from such longitudinal studies: The analysis is complicated by the dependence among repeated observations made on the same experimental unit. There may be a substantial proportion of missing values due to participants not attending at all scheduled visits or perhaps dropping out of the study altogether.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |