Displaying 1 result from an estimated 1 matches for "linear_age2".
2018 Feb 16
0
analysis of covariance and constrained parameters
...lue ~ Age/(Cohort + I(Cohort^2)) - 1, family =......, data = .....).
The latter commands would provide estimates of the age-specific
intercept, linear, and quadratic coefficients, as in
value_Age1 <- intercept_Age1 + linear_Age1*Cohort + quad_Age1*Cohort^2
value_Age2 <- intercept_Age2 + linear_Age2*Cohort + quad_Age2*Cohort^2
This is standard. One would choose among the above models via analysis
of variance or AIC.
Now assume that I have external knowledge that tells me that there is NO
influence of Cohort on value for Age1 and that
there could be up to a quadratic influence for Age2....