Fig. 3
Visualization of median treatment effect βtrt=0.2624=log(1.3). In contrast to all other analysis approaches, the transitional ordinal model allows to graphically represent shifts in motor score distributions for any constellation of relevant prognostic factors, permitting a much more detailed investigation of treatment effect. As illustrative example, represented is the distribution of motor score probabilities for participants in the control (left panel) and treatment arm (right panel). Lower scores became less, while higher score became more probable in the treatment arm. The treatment effect βtrt=0.2624=log(1.3) corresponds to an Odds Ratio of OR=1.3.The specific constellation of prognostics factor represented refers to a C8 key muscle, with a Motor Level C5 (x lev =C5.-3), a baseline motor score of ybase,i,m,1=1, and an autoregressive component yauto,i,m−1,2=3 for the motor score of the key muscle just above the one being reported