Effect of Smoking on Breast Cancer by Adjusting for Smoking Misclassification Bias and Confounders Using a Probabilistic Bias Analysis Method

Effect of Smoking on Breast Cancer by Adjusting for Smoking Misclassification Bias and Confounders Using a Probabilistic Bias Analysis Method Publisher

Pakzad R¹ ; Nedjat S¹ ; Yaseri M¹ ; Salehiniya H² ; Mansournia N³ ; Nazemipour M⁴ ; Mansournia MA¹

Source: Clinical Epidemiology Published:2020

Abstract

Purpose: The aim of this study was to determine the association between smoking and breast cancer after adjusting for smoking misclassification bias and confounders. Methods: In this case–control study, 1000 women with breast cancer and 1000 healthy controls were selected. Using a probabilistic bias analysis method, the association between smoking and breast cancer was adjusted for the bias resulting from misclassification of smoking secondary to self-reporting as well as a minimally sufficient adjustment set of confounders derived from a causal directed acyclic graph (cDAG). Population attributable fraction (PAF) for smoking was calculated using Miettinen’s formula. Results: While the odds ratio (OR) from the conventional logistic regression model between smoking and breast cancer was 0.64 (95% CI: 0.36–1.13), the adjusted ORs from the probabilistic bias analysis were in the ranges of 2.63–2.69 and 1.73–2.83 for non-differential and differential misclassification, respectively. PAF ranges obtained were 1.36–1.72% and 0.62–2.01% using the non-differential bias analysis and differential bias analysis, respectively. Conclusion: After misclassification correction for smoking, the non-significant negative-adjusted association between smoking and breast cancer changed to a significant positive-adjusted association. © 2020 Pakzad et al.

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Mohammad Ali Mansournia (15)

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Style	Citing Format
MLA	Pakzad R, et al.. "Effect of Smoking on Breast Cancer by Adjusting for Smoking Misclassification Bias and Confounders Using a Probabilistic Bias Analysis Method." Clinical Epidemiology, vol. 12, no. , 2020, pp. 557-568.
APA	Pakzad R, Nedjat S, Yaseri M, Salehiniya H, Mansournia N, Nazemipour M, Mansournia MA (2020). Effect of Smoking on Breast Cancer by Adjusting for Smoking Misclassification Bias and Confounders Using a Probabilistic Bias Analysis Method. Clinical Epidemiology, 12(), 557-568.
Chicago	Pakzad R, Nedjat S, Yaseri M, Salehiniya H, Mansournia N, Nazemipour M, Mansournia MA. "Effect of Smoking on Breast Cancer by Adjusting for Smoking Misclassification Bias and Confounders Using a Probabilistic Bias Analysis Method." Clinical Epidemiology 12, no. (2020): 557-568.
Harvard	Pakzad R et al. (2020) 'Effect of Smoking on Breast Cancer by Adjusting for Smoking Misclassification Bias and Confounders Using a Probabilistic Bias Analysis Method', Clinical Epidemiology, 12(), pp. 557-568.
Vancouver	Pakzad R, Nedjat S, Yaseri M, Salehiniya H, Mansournia N, Nazemipour M, et al.. Effect of Smoking on Breast Cancer by Adjusting for Smoking Misclassification Bias and Confounders Using a Probabilistic Bias Analysis Method. Clinical Epidemiology. 2020;12():557-568.
BibTex	@article{ author = {Pakzad R and Nedjat S and Yaseri M and Salehiniya H and Mansournia N and Nazemipour M and Mansournia MA}, title = {Effect of Smoking on Breast Cancer by Adjusting for Smoking Misclassification Bias and Confounders Using a Probabilistic Bias Analysis Method}, journal = {Clinical Epidemiology}, volume = {12}, number = {}, pages = {557-568}, year = {2020} }
RIS	TY - JOUR AU - Pakzad R AU - Nedjat S AU - Yaseri M AU - Salehiniya H AU - Mansournia N AU - Nazemipour M AU - Mansournia MA TI - Effect of Smoking on Breast Cancer by Adjusting for Smoking Misclassification Bias and Confounders Using a Probabilistic Bias Analysis Method JO - Clinical Epidemiology VL - 12 IS - SP - 557 EP - 568 PY - 2020 ER -

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