Abstract:
:To quantify nonresponse bias and estimate its potential impact, the authors compared census-based socioeconomic and demographic factors and geographic locations among respondents and nonrespondents in a multicenter case-control study of non-Hodgkin lymphoma (1998-2000). Using a geographic information system, the authors mapped current addresses and linked them to the 2000 US Census database to determine group-level demographic and socioeconomic information. They used logistic regression analysis to compute the risk of being a nonrespondent, separately for cases and controls. They used spatial scan methods to evaluate spatial clustering at each study center. Among cases at one or more centers, nonresponse was significantly associated with non-White race, lower household income, a greater proportion of multiple-unit housing, fewer years of education, and living in a more urbanized area. For most factors, the authors observed similar patterns among controls, although findings were mostly nonsignificant. They found two nonrandom elliptical clusters in Los Angeles, California, and Detroit, Michigan, that disappeared after adjustment for the demographic factors. The authors determined the bias in non-Hodgkin lymphoma risk associated with census-tract educational level by comparing risks among respondents and all subjects. The bias was 8%, indicating that the socioeconomic and demographic differences between respondents and nonrespondents did not result in a large bias in the risk estimate for education.
journal_name
Am J Epidemioljournal_title
American journal of epidemiologyauthors
Shen M,Cozen W,Huang L,Colt J,De Roos AJ,Severson RK,Cerhan JR,Bernstein L,Morton LM,Pickle L,Ward MHdoi
10.1093/aje/kwm292subject
Has Abstractpub_date
2008-02-01 00:00:00pages
350-61issue
3eissn
0002-9262issn
1476-6256pii
kwm292journal_volume
167pub_type
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