![]() If TRUE, outputs the resulting sample size with decimal digits. In other words, \(1-b\) is the desired power.Įxact: A boolean value, default to FALSE. This is the desired type I error.ī: A scalar. In addition, it is required that the linear column span of g_t contains f_t * p_t for each \(1 \leq j \leq p\) for the sample size calculation result to be accurate mrt_binary_ss() checks for this and if not satisfied the function will output a warning. Usually the first column of g_t is a column of 1’s. Here we briefly review the hypothesis test that the sample size is calculated for. ![]() For a general overview of MRT, see Klasnja et al. ![]() The calculator is based on the methods developed by Cohn et al. MRT is an experimental design for optimizing mobile health interventions such as push notifications to increase physical activity. This calculator can be used to eitherĭetermine the sample size needed to ensure a specified power when testing for a nonzero marginal causal excursion effect, orĭetermine the power given a sample size when testing for a nonzero marginal causal excursion effect. The MRTSampleSizeBinary package provides a sample size calculator for micro-randomized trials (MRT) where the proximal outcomes are binary.
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