The design of simulation studies in medical statistics

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Comparison of Approaches to Weight Truncation for Marginal Structural Cox Models (2013, positive): “A recently developed permutational algorithm for generating event times conditional on arbitrarily complex time-dependent covariates and/or effects (Sylvestre and Abrahamowicz, 2008) may be useful to simulate more complex data structures (Burton et al., 2006).”
Using simulation studies to evaluate statistical methods (2017, methodology): “Common sample sizes are n sim = 500 and n sim = 1000, as previously reported by Burton et al. 7 Of the 87 studies reporting n sim , four provided any justification of the choice.”
Sample size requirements to estimate key design parameters from external pilot randomised controlled trials: a simulation study (2014, background): “We also report the 95% coverage probability [32].”
Multilevel Modelling of Country Effects: A Cautionary Tale (2016, neutral): “As Burton et al. (2006) have stated,”