Summary of statistics comparing goodness-of-fit for different models
| Model . | Taiwanese . | Caucasian Americans . | ||||
|---|---|---|---|---|---|---|
| df . | Deviance . | P* . | df . | Deviance . | P* . | |
| Age | 33 | 145.830 | 33 | 50.655 | ||
| Age-period | 30 | 35.299 | < .001 | 30 | 39.569 | .011 |
| Age-cohort | 20 | 22.722 | < .001 | 20 | 37.249 | .417 |
| Age-period-cohort | 18 | 19.380 | < .001 | 18 | 25.498 | .048 |
| Model . | Taiwanese . | Caucasian Americans . | ||||
|---|---|---|---|---|---|---|
| df . | Deviance . | P* . | df . | Deviance . | P* . | |
| Age | 33 | 145.830 | 33 | 50.655 | ||
| Age-period | 30 | 35.299 | < .001 | 30 | 39.569 | .011 |
| Age-cohort | 20 | 22.722 | < .001 | 20 | 37.249 | .417 |
| Age-period-cohort | 18 | 19.380 | < .001 | 18 | 25.498 | .048 |
P value is based on the F test for comparison between 2-factor or 3-factor models and the age-alone model.
df indicates degree of freedom.