Observational Studies is a research paper published in Critical Thinking in Clinical Research (2018). On theSindex it has a DataRank of 0.169. It has been cited 1 time, with 1 citing works in its 1-hop citation network.
This chapter on observational studies provides an understanding of the main concepts in epidemiology, introduces common study designs, such as cross-sectional, case-control, and cohort studies, and outlines their importance for clinical research. The hallmark of epidemiological research is that it observes unexposed and exposed individuals under “real-life conditions” without intervening itself. The chapter emphasizes the important role of bias and confounding in interpreting results from such studies and explains how bias and confounding can be controlled. It furthermore discusses specific aspects of sample size determination that are relevant to observational studies. The chapter concludes with a brief review of the special nature of surgical research.
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Base Score Contribution
0.104
From this paper's citation signal
Citation Network Contribution
0.0651
From 1 citing papers with measurable signal
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 61% comes from its base citations and 39% from the citation network (1 citing paper contributed measurable signal).
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.
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