Suppose we want to compare patients in different stages of cancer in terms of the dependent variable X. One way is to group them with large sample sizes and compare them using parametric statistics. But if access to the sample is limited, what other ways can we use to obtain preliminary evidence of the effects that each stage produces? In an alternating treatment design, we change the conditions of the intervention, but the subject remains the same. Is there a way to change both the conditions (stages of cancer) and subjects (i.e., Phase 1: C1/S1, Phase 2: C2/S2, Phase 3: C3/S3)? Note that we cannot follow a patient from stage zero to the final stage.
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