14.Randomization05.Cross over - sporedata/researchdesigneR GitHub Wiki

1. Use cases: in which situations should I use this method?

  • In situations where participants are exposed to two or more different interventions: first exposed to intervention A, then the interventions are crossed, with an interval in the middle (washout period).

2. Input: what kind of data does the method require?

  • Common requirements for randomized trials
  • Interventions don't have a carryover effect after the use of a washout period, where the effect of the first intervention overlaps with the effect of the second.

See On the Proper Use of the Crossover Design in Clinical Trials

3. Algorithm: how does the method work?

Model mechanics

Reporting guidelines

  • Guidelines for the Content of Statistical Analysis Plans in Clinical Trials [1].

Data science packages

Suggested companion methods

Learning materials

  1. Books *
  2. Articles

4. Output: how do I interpret this method's results?

Mock conclusions or most frequent format for conclusions reached at the end of a typical analysis.

Tables, plots, and their interpretation

5. SporeData-specific

Templates

Data science functions

References

[1] Gamble C, Krishan A, Stocken D, Lewis S, Juszczak E, Doré C, Williamson PR, Altman DG, Montgomery A, Lim P, Berlin J. Guidelines for the Content of Statistical Analysis Plans in Clinical Trials. Jama. 2017 Dec 19;318(23):2337-43.

[2] Senn SJ, Lewis RJ. Treatment effects in multicenter randomized clinical trials. Jama. 2019 Mar 26;321(12):1211-2.

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