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Evaluation of Nonresponse Bias in a Case-Control Study of Pleural Mesothelioma.


ABSTRACT: Nonparticipation limits the power of epidemiological studies, and can cause bias. In a case-control study on pleural malignant mesothelioma (MM), we found low participation in interviews (63%) among controls. Our goal was to characterize nonresponder controls and assess nonresponse bias in our study. We selected all nonresponder controls (204) and a random sample of responder controls (174). Data were obtained linking hospital admissions and town registrars, and concordance between sources was assessed. Nonresponse bias was evaluated using a logistic regression model applying the inverse probability weighting approach. The odds ratio (OR) for the status of the respondents was 0.61 (95% confidence interval (CI): 0.33-1.16) for controls aged 61-70, 0.37 (CI: 0.20-0.66) for those aged 71-80, and 0.40 (CI: 0.20-0.80) for those aged above 80 (reference group: ?60 years). Controls with low education level had lower OR (0.47; CI: 0.26-0.84). After adjustment, the ORs for MM by categories of cumulative exposure to asbestos were similar to the unadjusted results, ranging from 4.6 (CI: 1.8-11.7) for cumulative exposures between 0.1 and 1 f/mL-y to 57.5 (CI: 20.2-163.9) above 10 f/mL-y. Responder controls were younger and had higher education level. Nevertheless, there was little evidence of bias from nonresponse in the risk estimates of MM.

SUBMITTER: Airoldi C 

PROVIDER: S-EPMC7504238 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

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Evaluation of Nonresponse Bias in a Case-Control Study of Pleural Mesothelioma.

Airoldi Chiara C   Ferrante Daniela D   Mirabelli Dario D   Azzolina Danila D   Magnani Corrado C  

International journal of environmental research and public health 20200824 17


Nonparticipation limits the power of epidemiological studies, and can cause bias. In a case-control study on pleural malignant mesothelioma (MM), we found low participation in interviews (63%) among controls. Our goal was to characterize nonresponder controls and assess nonresponse bias in our study. We selected all nonresponder controls (204) and a random sample of responder controls (174). Data were obtained linking hospital admissions and town registrars, and concordance between sources was a  ...[more]

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