Multinomial inverse regression is introduced as a general tool for simplifying predictor sets that can be represented as draws from a multinomial distribution, and we show that logistic regression of ...

We found regular regression and analysis of variance procedures based on a normal distribution to perform all cases we considered, whereas failure rate of multinomial procedures was often excessively ...

Mixed effects multinomial regression models tested correlates of engaging in 1–4 (vs 0) and 5–10 (vs 0) active trips/week to/from school, adjusted for distance and other covariates. Results 64% of ...