Clinical Trials Reporting

Clinical trial design terminology

Clinical study design is the formulation of trials and experiments, as well as observational studies in medical, clinical and other types of research (e.g., epidemiological) involving human beings.

Important considerations[edit]

When choosing a study design, many factors must be taken into account. Different types of studies are subject to different types of bias. For example, recall bias is likely to occur in cross-sectional or case-control studies where subjects are asked to recall exposure to risk factors. Subjects with the relevant condition (e.g. breast cancer) may be more likely to recall the relevant exposures that they had undergone (e.g. hormone replacement therapy) than subjects who don't have the condition.

The ecological fallacy may occur when conclusions about individuals are drawn from analyses conducted on grouped data. The nature of this type of analysis tends to overestimate the degree of association between variables.

Seasonal studies[edit]

Conducting studies in seasonal indications (such as allergies, Seasonal Affective Disorder, influenza, and others) can complicate a trial as patients must be enrolled quickly. Additionally, seasonal variations and weather patterns can affect a seasonal study.

Other terms[edit]

  • The term retrospective study is sometimes used as another term for a case-control study. This use of the term "retrospective study" is misleading, however, and should be avoided because other research designs besides case-control studies are also retrospective in orientation.
  • Superiority trials are designed to demonstrate that one treatment is more effective than another.
  • Non-inferiority trials are designed to demonstrate that a treatment is at least not appreciably worse than another.
  • Equivalence trials are designed to demonstrate that one treatment is as effective as another.
  • A longitudinal study assesses research subjects over two or more points in time; by contrast, a cross-sectional study assesses research subjects at one point in time.

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