Effect of alcohol consumption on breast cancer: probabilistic bias analysis for adjustment of exposure misclassification bias and confounders

Table 4 The estimates of population attributable fraction with 95% confidence intervals or MSCA intervals using conventional and bias analyses

Conventional analysis	Bias parameter distribution	Bias analysis (95% MCSA)
Conventional analysis	Bias parameter distribution	Non-differential	Differential ( r = 0.8)	Differential ( r = 0.5)	Differential ( r = 0.25)
0.20% (95% CI: -3.24, 2.50)	Triangular	1.76% (0.31, 5.27)	1.54% (-0.91, 5.92)	1.53% (-0.03, 5.92)	1.51% (0.23, 5.74)
	Beta	1.51% (0.27, 4.19)	2.85% (0.21, 6.81)	3.25% (0.20, 7.03)	3.56% (1.09, 7.21)
	Logit-logistic	2.57% (0.37, 9.32)	3.32% (0.41, 6.85)	2.57% (0.14, 6.34)	2.58% (0.15, 6.35)

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