conditional independence

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These two components are interrelated, so it is usually only necessary to consider one of the two sources of systematic variability to make longitudinal data conditionally independent and, thus, appropriate for use in multivariate regression modeling analysis.
After specification of the subject-specific random effects in the model, differences between observed and predicted PTSD results in the final regression model are considered conditionally independent (i.
r] are conditionally independent for given (S = 1).
First, as discussed in the previous section, the weekly volumes X[h(s), i(m), t] are conditionally independent Poisson variables with time-varying means described by equation (1).
Moreover, because all the underlying weekly purchases X[h(s), i(m), t] are conditionally independent, the multinomial distributions for each category are also conditionally independent.

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