Participation bias assessment in three high-impact journals

SAGE Open

Volumn 3, Issue 4, 2013, Pages

  Keeble, Claire ^a   Barber, Stuart ^a   Law, Graham Richard ^a   Baxter, Paul D ^a  

^a UNIVERSITY OF LEEDS   (United Kingdom)

Author keywords

Bias; Case control studies; Participation; Selection

Indexed keywords

EID: 84907286239     PISSN: None     EISSN: 21582440     Source Type: Journal    
DOI: 10.1177/2158244013511260     Document Type: Article

References (20)

1. Breslow, N. E., &Day, N. E. (1980). General considerations for the analysis of case-control studies. In N. E. Breslow &N. E. Day (Eds.), Statistical methods in cancer research (IARC Scientific Publications No 32, p. 113). Lyon, France:International Agency for Research on Cancer
2. Galea, S., &Tracy, M. (2007). Participation rates in epidemiological studies. Annals of Epidemiology, 17, 643-653.
3. Geneletti, S., Mason, A., &Best, N. (2011). Adjusting for selection effects in epidemiologic studies: Why sensitivity analysis is the only “solution.”Epidemiology, 22, 36-39.
4. Geneletti, S., Richardson, S., &Best, N. (2009). Adjusting for selection bias in retrospective, case-control studies. Biostatistics, 10, 17-31.
5. Hartge, P. (2006). Participation in population studies. Epidemiology, 17, 252-254.
6. Hatch, E. E., Kleinerman, R. A., Linet, M. S., Tarone, R. E., Kaune, W. T., Auvinen, A., Wacholder, S (2000). Do confounding or selection factors of residential wiring codes and magnetic fields distort findings of electromagnetic field studies. Epidemiology, 11, 189-198.
7. Hennekens, C. H., &Buring, J. E. (1987). Epidemiology in medicine. S. L. Mayrent (Ed.). Boston, MA:Little, Brown.
8. Hernan, M., Hernandez-Diaz, S., &Robins, J. A. (2004). Structural approach to selection bias. Epidemiology, 15, 615-625.
9. ISI Web of Knowledge. (2010). Journal citation reports, JCR science edition 2010. New York, NY:Thomas Reuters.
10. Jiany, Y., Scott, A. J., &Wild, C. J. (2011). Adjusting for nonresponse in population-based case-control studies. International Statistical Review, 79, 145-159.
11. Keeble, C., Baxter, P. D., Barber, S, Gilthorpe, M. S., &Law, G. R. (in press). Investigating methods currently used to reduce participation bias in case-control studies:a simulation study including directed acyclic graphs. International Journal of Epidemiology.
12. Kirkwood, B. R. (1988). Cohort and case-control studies. In Kirkwood (Eds.), Essentials of medical statistics (pp 173-183). Oxford, UK:Blackwell Scientific Publications..
13. Kleinbaum, D. G., Morgenstern, H., &Kupper, L. L. (1981). Selection bias in epidemiological studies. American Journal of Epidemiology, 113, 452-463.
14. Law, G. R., Baxter, P. D., &Gilthorpe, M. S. (2011). Selection bias in epidemiological studies. In Y.-K. Tu &D. Greenwood (Eds.), Modern methods for epidemiology (pp 57-71). New York, NY:Springer
15. Law, G. R., Smith, A., &Roman, E. (2001). The importance of full participation: Lessons from a national case-control study. British Journal of Cancer, 86, 350-355.
16. Lessler, J. T., &Kalsbeck, W. D. (1992). Nonsampling error in surveys. New York, NY:Wiley.
17. Madigan, M. P., Troisi, R., Potischman, N., Brogan, D., Gammon, M. D., Malone, K. E., &Brinton, L. A. (2000). Characteristics of respondents and non-respondents from a case-control study of breast cancer in younger women. International Journal of Epidemiology, 29, 793-798.
18. Rogers, A., Murtaugh, M. A., Edwards, S., &Slattery, M. L. (2004). Contacting controls:Are we working harder for similar response rates, and does it make a difference? American Journal of Epidemiology, 160(1), 85-90.
19. Sarndal, C.-E. (1992). Methods for estimating the precision of survey estimates when imputation has been used. Survey Methodology, 18, 241-252.
20. Wrensch, M. (2000). Are prior head injuries or diagnostic x-rays associated with glioma in adults? The effects of control selection bias. Neuroepidemiology, 19, 234-244.