This function facilitates creating the Bland-Altman plot on the posterior mean deviance contribution for two models using only three arguments.
bland_altman_plot(model1, model2, colour)Bland-Altman plot on the posterior mean deviance contribution of the
individual data points under model 1 and model 2.
Each data point corresponds to a trial-arm indicated by a pair of numbers.
The first number refers to the position of the trial in the dataset,
and the second arm refers to the corresponding trial-arm (see 'Arguments'
and 'Value' in data_preparation).
The plot also displays the average bias and the 95% limits of agreement
with horizontal solid black lines.
A vector with the numeric values of the target model (for instance, the consistency model).
A vector with the numeric values of the reference model (for instance, the unrelated mean effects model).
A string to define the colour of the data points in the plot.
Loukia M. Spineli
bland_altman_plot is integrated in ume_plot
to create the Bland-Altman plot on the posterior mean of deviance
under the consistency model (via run_model) and the
unrelated mean effects model (via run_ume).
A uniform scattering of the data points within the 95% limits of agreement and average bias close to 0 indicate that the compared models have a good agreement. Data points positioned above or below the 95% limits of agreement correspond to trials that contribute to the poor fit of the consistency model or unrelated mean effects model, respectively.
bland_altman_plot can be used to compare the following models
regarding deviance contribution:
the consistency model (via run_model) with the
unrelated effect means model (via run_ume);
the network meta-analysis model (via run_model) with
the network meta-analysis model (via run_metareg).
Bland JM, Altman DG. Measuring agreement in method comparison studies. Stat Methods Med Res 1999;8:135--60. doi: 10.1177/096228029900800204
data_preparation, run_metareg,
run_model, run_ume, ume_plot