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Unformatted text preview: nal model. 2. Conditional random coecient models Now lets assume each child has his/her own probability trajectory thats linear on the log-odds scale: logit ij = + 1 s i + 2 t j + b i + b i 1 t j , b i iid N 2 ( , ) . Fit this model in PROC GLIMMIX; use method=laplace . Interpret the model. 3. Assume a quadratic mean eect, but only child-specic random intercepts: logit ij = + 1 s i + 2 t j + 3 t 2 j + b i b i iid N (0 , 2 ) . Fit this model in PROC GLIMMIX; use method=laplace . Interpret the model. Which model (in 2 or 3) has lower AIC? 1...
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