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. Author manuscript; available in PMC: 2010 Jul 16.
Published in final edited form as: Radiat Res. 2008 Dec;170(6):721–735. doi: 10.1667/RR1231.1

Table 4.

Risk estimates based on the linear ERR and log-linear models – impact of different analytic strategies - All studied hematological malignancies combined (results based on the main data set a)

Cases/Controls Linear ERR model
Log-linear model
ERR/100 mGy 90% CI RR at 100 mGy RR at 100 mGy 90% CI
Different populations
Subjects who worked in 30 km zone 54/180 0.66 0.00 2.65 1.66 1.29 0.95 1.77
Cases with confirmed diagnosis and their matched controls 34/140 0.28 −0.24 2.34 1.28 1.26 0.69 2.35
Cases with confirmed diagnosis and their matched controls (30 km zone) 27/83 0.29 −0.24 2.41 1.29 1.28 0.69 2.49
Entire population b 117/481 0.00 nd c 0.43 0.99 0.99 0.77 1.26
Entire population excluding SEAD doses d 105/429 0.25 −0.10 1.13 1.25 1.15 0.87 1.50
Dose without constraint 70/287 0.14 −0.06 0.89 1.14 1.07 0.91 1.23
Unconditional logistic regression e 70/429 0.39 −0.06 1.57 1.39 1.24 0.92 1.65
Dose uncertainties 70/287 0.60 −0.01 2.58 1.60 1.29 0.95 1.90