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Table 2 Selected results from logistic regression and BMA.

From: Carcinogen metabolism, cigarette smoking, and breast cancer risk: a Bayes model averaging approach

Variable

Logistic regression

BMA

 

Pointwise

Model main a

Model all b

    
 

OR (95% CI)

OR (95% CI)

OR (95% CI)

OR (95% CI) &

OR| I = 1 (95% CI) $

Pr post

BF( I = 1)

packyears

1.08 (1.00-1.16)*

1.08 (1.01-1.16)*

1.09 (1.01-1.17)*

1.01 (1.01-1.01)

1.08 (1.08-1.08)

0.13

0.43

NAT1 *10

1.21 (1.01-1.44)*

1.18 (0.98-1.42) #

1.21 (1.00-1.46) #

1.05 (1.05-1.05)

1.19 (1.19-1.20)

0.26

1.05

NAT2 slow vs fast1

0.86 (0.70-1.04)

0.90 (0.73-1.11)

0.89 (0.72-1.09)

0.98 (0.98-0.98)

0.87 (0.87-0.88)

0.13

0.45

CYP1A1 *12

0.96 (0.77-1.21)

0.94 (0.74-1.18)

0.92 (0.73-1.16)

1.00 (1.00-1.00)

0.96 (0.96-0.97)

0.06

0.19

GSTT1 deletion

0.84 (0.65-1.10)

0.86 (0.66-1.12)

0.86 (0.66-1.13)

0.98 (0.98-0.98)

0.86 (0.86-0.86)

0.12

0.42

GSTM1 deletion

1.13 (0.93-1.37)

1.15 (0.94-1.40)

1.16 (0.95-1.42)

1.01 (1.01-1.01)

1.12 (1.12-1.13)

0.09

0.31

CYP1B1 *3

0.90 (0.78-1.03)

0.90 (0.78-1.04)

0.90 (0.78-1.04)

0.99 (0.99-0.99)

0.91 (0.90-0.91)

0.09

0.31

packyears × NAT2

1.19 (1.03-1.38)*

 

1.20 (1.03-1.40)*

1.00 (1.00-1.00)

1.19 (1.18-1.20)

0.01

0.30

packyears × GSTM1

1.11 (0.96-1.28)

 

1.11 (0.96-1.29)

1.00 (1.00-1.00)

1.10 (1.08-1.12)

0.00

0.07

  1. Adjusted for age, menopause and family history
  2. 1 slow acetylators had at least one *4 allele
  3. 2 the reference was homozygote for the *1 allele
  4. a only main effects
  5. b all main effects and interactions
  6. &OR and CI computed from mean coefficient estimate and its standard error averaged over all models
  7. $ OR and CI computed from mean coefficient estimate and its standard error averaged over all models containing the respective variable
  8. # p < 0.1, * p < 0.05
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Epidemiologic Perspectives & Innovations

ISSN: 1742-5573