Table 6

Cox regression* results for all haematopoietic cancer mortality

Analysis, exposure variableModel likelihood, df, p value†Coefficient (SE)Odds ratios by category‡
*Cases and controls matched on age, race (white/non-white), date of birth within five years, 74 cases (37 male, 37 female).
†Model likelihood is difference in −2 log likelihoods between model with and without covariates; the only covariate in these models was exposure, so the p value of the model serves as a test of significance of the exposure coefficient, and as a test of exposure-response trend.
‡Categories for cumulative exposure are the same as in tables 2–5.
Both sexes, cumulative exposure1.62, 1 df, p = 0.200.0000033 (0.0000023)
Males, cumulative exposure2.45, 1 df, p = 0.120.0000040 (0.0000022)
Males, categorical cumulative exposure2.53, 3 df, p = 0.46na1.00, 2.07 (0.67–6.41), 2.02 (0.68–5.98), 2.06 (0.72–5.91)
Females, cumulative exposure0.87, 1 df, p = 0.34−0.000011 (0.000014)
Females, categorical cumulative exposure3.78, 3 df, p = 0.29na1.00, 1.51 (0.69–3.34), 0.93 (0.38–2.30), 0.52 (0.16–1.66)
Males, log cumulative exposure, 15 year lag5.29, 1 df, p = 0.020.119 (0.052)
Males, categorical cumulative exposure, 15 year lag6.81, df = 4 p = 0.15na1.00, 1.23 (0.32–4.73), 2.52 (0.69–9.22), 3.13 (0.95–10.37, 3.42 (1.09–10.73)