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Sample size calculation based on precision for pilot sequential multiple assignment randomized trial (SMART)
Author(s) -
Yan Xiaoxi,
Ghosh Palash,
Chakraborty Bibhas
Publication year - 2021
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.201900364
Subject(s) - sample size determination , margin (machine learning) , outcome (game theory) , sample (material) , computer science , statistics , mathematics , machine learning , chemistry , mathematical economics , chromatography
The sequential multiple assignment randomized trial (SMART) is a design used to develop dynamic treatment regimes (DTRs). Given that DTRs are generally less well researched, pilot SMART studies are often necessary. One challenge in pilot SMART is to determine the sample size such that it is small yet meaningfully informative for future full‐fledged SMART. Here, we develop a precision‐based approach, where the calculated sample size confines the marginal mean outcome of a DTR within a prespecified margin of error. The sample size calculations will be presented for two‐stage SMARTs, and for various common outcome types.