Misclassification Adjustment of Family History of Breast Cancer in a Case-Control Study: a Bayesian Approach |
Moradzadeh, Rahmatollah
(Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences)
Mansournia, Mohammad Ali (Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences) Baghfalaki, Taban (Department of Statistics, Faculty of Mathematical Sciences, Tarbiat Modares University) Ghiasvand, Reza (Oslo Center for Biostatistics and Epidemiology, Institute of Basic Medical Sciences, University of Oslo) Noori-Daloii, Mohammad Reza (Department of Medical Genetics, School of Medicine, Tehran University of Medical Sciences) Holakouie-Naieni, Kourosh (Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences) |
1 | Greenland S (2005). Multiple-bias modelling for analysis of observational data. J Royal Statistical Society, A, 168, 1-25. DOI |
2 | Greenland S (2008). Invited commentary: variable selection versus shrinkage in the control of multiple confounders. Am J Epidemiology, 167, 523-9. |
3 | Greenland S (2009). Bayesian perspectives for epidemiologic research: III. Bias analysis via missing-data methods. International J Epidemiol, 38, 1662-73. DOI |
4 | Greenland S, Lash T (2008). Bias analysis. In 'Modern Epidemiology', Eds Lippincott-Williams-Wilkins, Philadelphia, 345-80 |
5 | Greenland S, Mansournia MA (2015). Penalization, bias reduction, and default priors in logistic and related categorical and survival regressions. Statistics in Medicine, 34, 3133-43. DOI |
6 | Hamra G, MacLehose R, Richardson D (2013a). Marcov Chain Monte Carlo: an introduction for epidemiologists. International J Epidemiol, 42, 627-34. DOI |
7 | Hamra GB, MacLehose RF, Cole SR (2013b). Sensitivity analyses for sparse-data problems-using weakly informative bayesian priors. Epidemiology (Cambridge, Mass.), 24, 233-9. DOI |
8 | Hassanzadeh J, Moradzadeh R, Rajaee fard A, et al (2012). A comparison of case-control and case-only designs to investigate gene-environment interactions using breast cancer data. Iranian Journal of Medical Sciences, 37, 112-8. |
9 | Holakouie-Naieni K, Ardalan A, Mahmoodi M, et al (2007). Risk factors of breast cancer in North of Iran: A Case-Control in Mazandaran Province. Asian Pac J Cancer Prev, 8, 395-8. |
10 | Zare N, Haem E, Lankarani KB, et al (2013). Breast cancer risk factors in a defined population: weighted logistic regression approach for rare events. J Breast Cancer, 16, 214-9. DOI |
11 | Hosseinzadeh M, Eivazi Ziaei J, Mahdavi N, et al (2014). Risk factors for breast cancer in Iranian women: a hospitalbased case-control study in tabriz, Iran. J Breast Cancer, 17, 236-43. DOI |
12 | Jurek AM, Lash TL, Maldonado G (2009). Specifying exposure classification parameters for sensitivity analysis: family breast cancer history. Clinical Epidemiology, 1, 109-17. |
13 | Keil AP, Daniels JL, Hertz-Picciotto I (2014). Autism spectrum disorder, flea and tick medication, and adjustments for exposure misclassification: the CHARGE (CHildhood Autism Risks from Genetics and Environment) case-control study. Environmental Health, 13, 3. DOI |
14 | Lash T, Fink A (2003). Semi-automated sensitivity analysis to assess systematic errors in observational data. Epidemiology, 14, 451-8. |
15 | Lash TL, Fox MP, Fink AK 2009. Applying quantitative bias analysis to epidemiologic data, berlin, Germany, Springer. |
16 | Lash TL, Fox MP, MacLehose RF, et al (2014). Good practices for quantitative bias analysis. International Journal of Epidemiology, 43, 1969-85. DOI |
17 | MacLehose RF, Gustafson P (2012 January). Is probabilistic bias analysis approximately Bayesian? Epidemiology, 23, 151-8. DOI |
18 | MacLehose RF, Olshan AF, Herring AH, et al (2009). Bayesian Methods for Correcting Misclassification: An Example from Birth Defects Epidemiology. Epidemiology, 20, 27-35. DOI |
19 | Mahouri K, Dehghani-Zahedani M, Zare S (2007 Nov-Dec). Breast cancer risk factors in south of Islamic Republic of Iran: a case-control study. East Mediterr Health J, 13, 1265-73. DOI |
20 | Marrie RA, Cutter G, Tyry T, et al (2008). Smoking status over two years in patients with multiple sclerosis. Neuroepidemiology, 32, 72-9. |
21 | Fox M, Lash T, Greenland S (2005). A method to automate probabilistic sensitivity analyses of misclassified binary variables. International J Epidemiol, 36, 1370-6. |
22 | Akbari A, Razzaghi Z, Homaee F, et al (2011). Parity and breastfeeding are preventive measures against breast cancer in Iranian women. Breast Cancer, 18, 51-5. DOI |
23 | Chu H, Wang Z, Cole S, et al (2006). Sensitivity analysis of misclassification: A graphical and a Bayesian approach. Ann Epidemiol, 16, 834-41. DOI |
24 | Ebrahimi M, Vahdaninia M, Montazeri A (2002). Risk factors for breast cancer in Iran: a case-control study. Breast Cancer Res, 4, R10. DOI |
25 | Gelman A, Carlin JB, Stern HS, et al 2003. Bayesian Data Analysis, London, CRC Press. |
26 | Gelman A, Rubin DB ( 1992). Inference from iterative simulation using multiple sequences. Statistical Science, 7, 457-511. DOI |
27 | Ghiasvand R, Bahmanyar S, Zendehdel K, et al (2012). Postmenopausal breast cancer in Iran; risk factors and their population attributable fractions. BMC Cancer, 12, 414. DOI |
28 | Ghiasvand R, Maram ES, Tahmasebi S, et al (2011). Risk factors for breast cancer among young women in southern Iran. International J Cancer, 129, 1443-9. DOI |
29 | Rothman KJ, Greenland S, Lash TL (2008). Validity in epidemiologic studies. in 'modern epidemiology', eds lippincott williams and wilkins, Philadelphia, 128-47 |
30 | Prescott GJ, Garthwaite PH (2005). Bayesian analysis of misclassified binary data from a matched case-control study with a validation sub-study. Statistics in Medicine, 24, 379-401. DOI |
31 | Sepandi M, Akrami M, Tabatabaee H, et al (2014). Breast Cancer Risk Factors in Women Participating in a Breast Screening Program: a Study on 11,850 Iranian Females. Asian Pac J Cancer Prev, 15, 8499-502. DOI |
32 | Szatmari P, Jones MB (1999). Effects of misclassification on estimates of relative risk in family history studies. Genetic Epidemiology, 16, 368-81. DOI |
33 | Tehranifar P, Wu H-C, Shriver T, et al (2015). Validation of family cancer history data in high-risk families: the influence of cancer site, ethnicity, kinship degree, and multiple family reporters. American Journal of Epidemiology. |
34 | van Gelder MMHJ, Donders ART, Devine O, et al (2014a). Using bayesian models to assess the effects of under-reporting of cannabis use on the association with birth defects, national birth defects prevention study, 1997-2005. Paediatric and Perinatal Epidemiology, 28, 424-33. DOI |
35 | van Gelder MMHJ, Donders ART, Devine O, et al (2014b). Using bayesian models to assess the effects of under-reporting of cannabis use on the association with birth defects, national birth defects prevention study, 1997-2005. Paediatric and Perinatal Epidemiology, n/a-n/a. |
36 | Veisy A, Lotfinejad S, Salehi K, et al (2015). Risk of breast cancer in relation to reproductive factors in north-west of Iran, 2013-2014. Asian Pac J Cancer Prev, 16, 451-5. DOI |