Bayesian Hierarchical Modeling for Categorical Longitudinal Data from Sedation Measurements

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td align="left">Categories</td><td align="center">Response</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td align="left">Sed1</td><td align="center">Anxious or restless or both</td></tr><tr><td align="left">Sed2</td><td align="center">Cooperative, orientated, and tranquil</td></tr><tr><td align="left">Sed3</td><td align="center">Responding to commands</td></tr><tr><td align="left">Sed4</td><td align="center">Brisk response to stimulus</td></tr><tr><td align="left">Sed5</td><td align="center">Sluggish response to stimulus</td></tr><tr><td align="left">Sed6</td><td align="center">No response to stimulus</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Computational and Mathematical Methods in Medicine

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Table 3

Table 3: Bayesian Hierarchical Modeling for Categorical Longitudinal Data from Sedation Measurements 