Participants varied greatly in their alcohol pharmacokinetics (see Li, 2000), and due to the necessity of reaching specific BrACs to begin task sets, the number and timing of observations varied across participants. Thus, models were fit with Hierarchical Linear Modeling (HLM), which is capable of nesting repeated observations within participants and is robust to different numbers of observations per individual. HLM also can model changes in slopes over time. All models included a random intercept of subject.
