Table 2.
Model | Log relative risk |
---|---|
M1 | log (θi) = 1 + 0. 1 x1i − 0.05x2i |
M2 | log (θi) = 1 + 0.1 x1i − 0.05x2i + ui ui ~ Norm(0,1) |
M3 | log (θi) = 1 + 0.1 x1i − 0.05x2i + ui + vi ui ~ Norm(0,1), vi ~ CAR (τv), τv = 1 |
M4 | log (θi) = 1 + 0.1 x1i − 0.05x2i − 0.05x3i + 0.5x4i |
M5 | log (θi) = 1 + 0.1x1i − 0.05x2i − 0.05x3i + 0.5x4i + ui + vi ui ~ Norm(0,1), vi ~ CAR (τv), τv = 1 |
M6 | log (θi) = 1 + ui + vi ui ~ Norm(0,1), vi ~ CAR (τv), τv = 1 |