An ordinary repeated measures is where patients are assigned a single treatment and the results are measured over time eg at 1 4 and 8 weeks a crossover design is where patients are assigned all treatments and the results are measured over time the most common crossover design is two period two treatment. Repeated measures design is a research design that involves multiple measures of the same variable taken on the same or matched subjects either under different conditions or over two or more time periods for instance repeated measurements are collected in a longitudinal study in which change over time is assessed. Repeated measures designs crossover studies the crossover design is by far the most common type of repeated measures design based around ensuring that all of the subjects receive all of the treatments in an experiment with two treatments the subjects would be randomized into two groups the first group would be given treatment a . Repeated measures design versus cross over design you can think of the repeated measures design in this simplified example as representing what happens in the first period of the cross over design however while the repeated measures design ends after the first week the cross over design continues for a second week with subjects switching . An introduction to state of the art experimental design approaches to better understand and interpret repeated measurement data in cross over designs repeated measurements and cross over designs features the close tie between the design analysis and presentation of results presents principles and rules that apply very generally to most areas of research such as clinical trials
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