Key features of simulation studies | NHANES example |

Aims | To quantify the impact of measurement error. |

Data generating mechanism | Take real data, add normally distributed random error to the exposure of interest (HbA1c) and/or the confounder (BMI). |

Method of analysis | Multivariable linear regression, first on data with no measurement error, then on data with measurement error added. |

Performance measure | Bias in regression coefficient for exposure of interest (HbA1c). |

Number of repetitions | 1000 |

This table is inspired by the ‘ADEMP’ system (aims, data generating mechanisms, estimands, methods and performance measures) introduced previously in statistical literature.3

BMI, body mass index; HbA1c, glycated haemoglobin; NHANES, National Health and Nutrition Examination Survey.