There were a significant effect of species (p < 0.0001), fuel load (p < 0.0001) and of the interaction year of burning *date of fire (p < 0.0001) on the mean char height.
Sensitivity analysis with cumulative logistic regression replicated the main results by showing a significant difference in physical activity between the periods (interaction year × period p<0.001 in both sexes).
There were no significant sowing-date-by-year interaction and year effect on oil and seed yield.
The fixed interactions year × gender × age group (p = 0.93) and year × gender (p = 0.35) were not significant while the interactions age group × year (p < 0.0001) and age group × gender (p < 0.0001) were significant.
The final classical logistic regression model (with the lowest AIC) included all main effects and six 2-way interactions (year of test × region, year of test × injecting duration, region × injecting duration, region × gender, region × age, gender × injecting duration).
Physicists have been looking for the particles that carry this kind of interaction for years, but haven't seen them.
There was no interaction between years since baseline and level of chronicity.
These fixed effects included contemporary group (animals born in the same year and raised together), the interaction of year and month of birth and breed.
We derived hospital peer group and surgery type trends using interaction effects (year and hospital peer group; year and surgery type) in separate models.
Differences in plant composition were significantly affected by EVC but also by year of observation and the plots, only the interaction between Year × EVC was significant (Table 6).
