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If we opt for the second solution we appear to run head on into the problem of the subject, for assuming that we do not exist after we are alive, no one is left to incur harm.
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In addition, subjects displayed an inclination for assuming a flat prior at the outset of the experiment.
Though only around half of the sample was actually convicted, there were sufficient grounds for assuming that all subjects in the study sample had consumed child pornography, seeing as they had registered with their personal credit cards and confessed to the allegations.
Mixed effects regression analysis accounting for multiple measures per subject and assuming independent covariance structure was performed to obtain a regression equation (slope, intercept, and SE of estimate) between rS o2 and Sav o2.
For each simulation run, 1000 haplotypes were randomly drawn given the haplotype frequency distribution thus creating two copies of the haplotypes for 500 subjects assuming Hardy-Weinberg equilibrium.
In a sample of n subjects, for the ith subject we assume that the following variables are observed at the jth visit: Tij chronological time of clinical visit Yij binary disease outcome measurement Zij vector of covariates.
For each subject i, assume X 1i, X 2i, … X Ki are measures of exposure taken during K i time points t 1i, t 2i, …, t Ki; Y i is the health outcome, and Z i are mean-centered covariates.
An auto-regressive (1) correlation structure between data for the same subject was assumed.
In this model, the response for the ith subject is assumed to differ from the population mean, E(Yi =Xiβ, by a subject specific effect, Zibi, and a within-subject measurement error ei.
Similarly, the rate of change for the ith subject was assumed to be equal to an overall mean rate of change, β, and a deviation from the mean associated with the ith individual, s i : β i = β + s i.
Note that the number of repeated measurements can vary by method and subject, and measurements for the M methods need not be made simultaneously as the underlying values for subjects are assumed to remain static over all replications.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com