Table 3

Model fit characteristics by outcome, exposure (preferred lag or window), and model type

Outcome
Adjust for
Non-CLL (n=264) race, sex and hire dateAML (n=150) birth dateCML (n=52) race, sex and hire date
ModelLag (2 years)Windows (6–14 years)Lag (1.1 years)Windows (6–14 years)Lag (6.3 years)Windows (6.3–14 years)
Fit statistic*AICLRT p valueAICLRT p valueAICLRT p valueAICLRT p valueAICLRT p valueAICLRT p value
Linear850.9NA847.6NA480.9NA473.7NA168.0NA166.2NA
Linear-quadratic852.10.382846.90.104481.70.281NCNC170.00.962NCNC
RCS844.70.006845.60.046479.40.065473.50.136170.60.488NCNC
PLS†846.20.013847.60.135NMNMNMNM
Categorical852.2NA849.8NA486.1NA477.7NA170.9NA169.6NA
  • *LRT degrees of freedom (df): Linear-quadratic all=1; RCS lag=2, window=1; and PLS lag=4, window=2.

  • †Best fitting PLS models were obtained using two knots (8.3 and 46.9 mGy) in the 2-year-lagged model and one knot (20.1 mGy) in the windows-based model.

  • AIC, Akaike Information Criterion; AML, acute myeloid leukaemia; CML, chronic myeloid leukaemia; CLL, chronic lymphocytic leukaemia; LRT, likelihood ratio test; NA, not applicable; NC, not calculable; NM, not modelled; PLS, piecewise linear spline; RCS, restricted cubic spline.