Designed Experiment with Post-Treatment Measures

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A Designed Experiment with Post-Treatment Measures is a designed study where interventions can be assigned to experiment subjects, and where posttest measures can be taken.



    • One way of classifying clinical trials is by the way the researchers behave. …

      … In an interventional study, the investigators give the research subjects a particular medicine or other intervention. Usually, they compare the treated subjects to subjects who receive no treatment or standard treatment. Then the researchers measure how the subjects' health changes.


  • (Everitt & Howell, 2005) ⇒ Brian S. Everitt, and David Howell (editors). (2005). “Encyclopedia of Statistics in Behavioral Science." Wiley. ISBN:9780470860809
    • QUOTE: In a controlled observational cohort study, two groups of subjects are selected from two populations that (hopefully) differ in only one characteristic at the start. The groups of subjects are studied for a specific period and contrasted at the end of the study period. For instance, smokers and nonsmokers are studied for a period of 10 years, and at the end the proportions of smokers and nonsmokers that died in that period are compared. On the other hand, in an intervention study, the subjects are selected from one population with a particular characteristic present; then, immediately after baseline, the total study group is split up into a group that receives the intervention and a group that does not receive that intervention (control group). The comparison of the outcomes of the two groups at the end of the study period is an evaluation of the intervention. For instance, smokers can be divided into those who will be subject to a smoking-cessation program and those who will not be motivated to stop smoking. … The first step in any intervention study is to specify the target population, which is the population to which the findings should be extrapolated. This requires a specific definition of the subjects in the study prior to selection. In a clinical trial, this is achieved by specifying inclusion and exclusion criteria. [1]
  • 1992

    • (Keppel et al., 1992) ⇒ Geoffrey Keppel, William H. Saufley, and Howard Tokunaga. (1992). “Introduction to Design and Analysis, 2nd edn." W.H. Freeman and Company. ISBN:0716723212