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</script>Longitudinal and observational study designs are important methodologies to investigate potential associations that may not be amenable to RCTs. In many cases, they may be performed using existing data and are often cost-effective ways of addressing important questions. The major disadvantage of observational studies is the potential for bias. The absence of randomization means that one can never be certain that unknown confounders are present, and specific studies designs have their own inherent forms of bias. Careful study design may minimize bias. Establishing a casual association based on observational methods requires due consideration of the quality of the individual study and knowledge of its limitations.
Risk, Models, Statistical, Data Collection, Cohort Studies, Bias, Research Design, Risk Factors, Epidemiologic Research Design, Case-Control Studies, Multivariate Analysis, Humans, Longitudinal Studies, Randomized Controlled Trials as Topic
Risk, Models, Statistical, Data Collection, Cohort Studies, Bias, Research Design, Risk Factors, Epidemiologic Research Design, Case-Control Studies, Multivariate Analysis, Humans, Longitudinal Studies, Randomized Controlled Trials as Topic
| 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). | 2 | |
| 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 |
