Skip to main content
. Author manuscript; available in PMC: 2011 Feb 3.
Published in final edited form as: Stat Med. 2008 Nov 20;27(26):5484–5496. doi: 10.1002/sim.3354

Table II.

Analysis of deviance table for comparison of various specification of the two-dimensional log-linear model for exposure and latency.

Latency model (knots [years])* Exposure model (knots [WL])* Model DF Deviance LRT statistic (DF) p-Value AIC
Cumulative exposure 1 1878.7 1880.7
Piecewise constant Piecewise constant 16 1791.7 87.0 (15) <0.001 1823.7
Cubic (none) Linear (none) 4 1840.0 38.7 (3) <0.001 1848.0
Linear (63) 8 1778.4 61.6 (4) <0.001§ 1794.4
Linear [42,92] 12 1771.9 68.1 (8) <0.001 1795.9
Quadratic (None) 8 1799.0 41.0 (4) <0.001 1815.0
Quadratic (63) 12 1774.0 66.0 (4) <0.001 1798.0
Quadratic [42,92] 16 1768.5 71.5 (8) <0.001 1800.5
Cubic (None) 12 1770.7 69.3 (8) <0.001 1794.7
Cubic (63) 16 1759.0 81.0 (12) <0.001 1791.0
Cubic [42,92] 20 1757.7 82.3 (16) <0.001 1797.7
*

Degree of the polynomial in each dimension of the tensor product spline, along with the position of the knots (in brackets).

Likelihood ratio test.

Compared with a cumulative exposure model.

§

This and subsequent models compared with a tensor-product spline model with cubic and linear polynomials (no knots) for latency and exposure, respectively.