14.Randomization09.Platform - sporedata/researchdesigneR GitHub Wiki

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

Platform trials are adaptive, multiarm, multistage trial designs, evaluating several interventions over time and using interim evaluations while also adding new interventions while the trial is in course. It is called a platform because the same structure can be used for different interventions, configuring a high-quality assembly line.

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

Individuals willing to be randomized
Funding to sustain the infrastructure

3. Algorithm: how does the method work?

Model mechanics

Reporting guidelines for methods

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

Data science packages

Suggested companion methods

Learning materials

Books *
Articles
- An overview of platform trials with a checklist for clinical readers
- Treatment effects in multicenter randomized clinical trials [2].
- Common references for randomized designs
- How to Use and Interpret the Results of a Platform Trial: Users’ Guide to the Medical Literature [3].

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.

[3] Park JJ, Detry MA, Murthy S, Guyatt G, Mills EJ. How to Use and Interpret the Results of a Platform Trial: Users’ Guide to the Medical Literature. JAMA. 2022 Jan 4;327(1):67-74.

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