Original articleNon-response bias in studies of diabetic complications: The rochester diabetic neuropathy study
References (41)
Bias in analytic research
J Chron Dis
(1979)- et al.
Some methodologic problems in the long-term study of cardiovascular disease: Observations on the Framingham Study
J Chron Dis
(1959) - et al.
Life-style and future health: Evidence from the Alameda County Study
Prev Med
(1980) - et al.
Patterns of non-response to a mail survey
J Clin Epidemiol
(1990) - et al.
A comparison between participants and non-participants in a primary preventive trial
J Chron Dis
(1976) - et al.
Bias due to non-participation and heterogenous sub-groups in population surveys
J Chron Dis
(1983) - et al.
The Beaver Dam Eye Study: Retinopathy in adults with newly discovered and previously diagnosed diabetes mellitus
Ophthalmology
(1992) - et al.
Characteristics of respondents and nonrespondents in a prospective study of osteoporosis
J Clin Epidemiol
(1991) - et al.
Differences between respondents and nonrespondents in a morbidity survey involving clinical examination
J Chron Dis
(1957) - et al.
The Rochester Diabetic Neuropathy Study: Design, criteria for types of neuropathy, selection bias, and reproducibility of neuropathic tests
Neurology
(1991)
The patient record in epidemiology
Sci Am
The incidence of diabetes mellitus by clinical type
Diabetes Care
Classification and diagnosis of diabetes mellitus and other categories of glucose intolerance
Diabetes
Impact of recent changes in diagnostic criteria on the apparent natural history of diabetes mellitus
Am J Epidemiol
Diabetic neuropathy
Referral bias in diabetes research
Diabetes Care
Field methods and response rates in the Tecumseh Community Health Study
Am J Public Health
The search for risk factors in breast cancer
Am J Public Health
Investigation of nonresponse bias in NHANES II
Am J Epidemiol
Response bias in the Honolulu Heart Program
Am J Epidemiol
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Socioeconomic deprivation is associated with decreased survival in patients with acute myeloid leukemia
2020, Cancer EpidemiologyCitation Excerpt :This selection bias has already been identified in other populations wherein the response burden was associated with a worse health status [46] or later disease stages in cancer patients [47]. Moreover, several studies have highlighted relationships between response rates and SES [48] or educational level [49]. Alternatively, in our study, this result could be related to a greater psychological burden for patients with a more severe disease.
Number of pain sites is associated with demographic, lifestyle, and health-related factors in the general population
2008, European Journal of PainCharacteristics of nonparticipants differed based on reason for nonparticipation: a study involving the chronically ill
2008, Journal of Clinical EpidemiologyCitation Excerpt :Characteristics of individuals who do not participate in health research often differ in fundamental ways to those who participate [1–4].
Lower prevalence of heart disease but higher mortality risk during follow-up was found among nonrespondents to a cohort study
2006, Journal of Clinical EpidemiologyCitation Excerpt :This healthy volunteer effect has been found in several studies. Respondents were found to have a better general health [13,17], and nonrespondents were found to have more often hypertension [10,13,18], a history of diabetes [13,16], a history of hospitalization for heart failure [16], myocardial infarction [13,19], stroke [13,17,18], and macrovascular disease [11]. Exceptions are lipid disorders [13,16] and a family history of cardiovascular problems [14,16], which seem to be more prevalent among respondents.
The impact of survey nonresponse bias on conclusions drawn from a mammography intervention trial
2003, Journal of Clinical EpidemiologyCitation Excerpt :However, previous studies have documented significant generalizability limitations/nonresponse biases in surveys with response rates greater than 80% [9,10]. Furthermore, several studies have documented that individuals who do not respond to surveys are more likely to be socio-economically disadvantaged [9–15]. Hence, survey nonresponse is more likely to pose a threat to validity in studies targeting disadvantaged populations.