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Fig. 6 | BMC Medical Research Methodology

Fig. 6

From: A graphical approach to assess the goodness-of-fit of random-effects linear models when the goal is to measure individual benefits of medical treatments in severely ill patients

Fig. 6

(Scenario 3). Benefit quantile-quantile (BQQ) plots of simulated treatment benefits at t = 4 for N = 100 patients with n = 6 measures per patient. The plots on the right panel correspond to random effects simulated from trivariate t distributions with degrees of freedom (df) of 3, 5, 7, 9, 11 or 13. The left panels correspond to random effects simulated from trivariate normal distributions with the same mean and variance-covariance matrix as the corresponding non-normal distribution on the same row at the right panel

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