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Linear mixed models included random effects of subjects and movies, and fixed effects of age group (younger adult, older adult), presentation condition (unedited, event middle, event boundary), and information type (midpoint, boundary).

Models included random intercepts, and random slopes for time effects.

All models included random intercepts for subjects and items.

The models included random effects at area level allowing for geographic clustering of outcomes.

The models included random intercepts for continuing medical education groups, general practitioners, and patients.

All models included random effects of sib-pair and factory site to account for clustering.

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The structure of mixture models, including random effect models, entails different forms of variance-to-mean relationships.

These models include Random Boolean Networks [1], Boolean Networks with perturbation (BNp) [19], Probabilistic Boolean Networks (PBN) [2], and Boolean Control Networks (BCN) [20, 21].

To better understand the factors that influence the time we spend simulating failure sequences, we measured the duration spent simulating 500 failure sequences of random architecture models (including random propositional formulas driving local failure propagation).

We constructed four models including random intercept model and random slope model.

We used linear mixed-effects models including random subject intercepts and adjusted for several potential confounders.

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