Literature DB >> 12464380

Analysis of nonresponse bias in a population-based case-control study on lung cancer.

Lorenzo Richiardi1, Paolo Boffetta, Franco Merletti.   

Abstract

The objective of this study was to identify characteristics of nonrespondents and late respondents in a population-based case-control study on lung cancer conducted in the city of Turin (Italy). Information about demographic and socioeconomic variables of 634 cases and 859 controls who responded to an interview, as well as of 154 cases and 154 controls who did not respond were obtained from census and the public register of Turin. The socioeconomic level of nonrespondents was high in cases but low in controls. Late respondent controls (i.e., individuals who responded after contact through their general practitioner) had socioeconomic characteristics comparable with those of nonrespondents, while they were similar to respondents with respect to demographic variables. The interview of late respondents halved, from 14 to 7%, the magnitude of the bias introduced by nonresponse on the estimate of the association between educational level and lung cancer. Nonresponse, associated with socioeconomic status, is an important potential source of bias in population-based case-control studies, which should always be considered and discussed. The direction and magnitude of the bias can be quantified. General practitioners may contribute to decrease nonresponse bias. Caution should be used in inferring characteristics of nonrespondents on the basis of those of late respondents.

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Year:  2002        PMID: 12464380     DOI: 10.1016/s0895-4356(02)00455-9

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  15 in total

1.  Nonresponse research--an underdeveloped field in epidemiology.

Authors:  Andreas Stang
Journal:  Eur J Epidemiol       Date:  2003       Impact factor: 8.082

2.  Birth order and risk of non-hodgkin lymphoma--true association or bias?

Authors:  Andrew E Grulich; Claire M Vajdic; Michael O Falster; Eleanor Kane; Karin Ekstrom Smedby; Paige M Bracci; Silvia de Sanjose; Nikolaus Becker; Jenny Turner; Otoniel Martinez-Maza; Mads Melbye; Eric A Engels; Paolo Vineis; Adele Seniori Costantini; Elizabeth A Holly; John J Spinelli; Carlo La Vecchia; Tongzhang Zheng; Brian C H Chiu; Silvia Franceschi; Pierluigi Cocco; Marc Maynadié; Lenka Foretova; Anthony Staines; Paul Brennan; Scott Davis; Richard K Severson; James R Cerhan; Elizabeth C Breen; Brenda Birmann; Wendy Cozen
Journal:  Am J Epidemiol       Date:  2010-08-18       Impact factor: 4.897

3.  Baseline recruitment and analyses of nonresponse of the Heinz Nixdorf Recall Study: identifiability of phone numbers as the major determinant of response.

Authors:  A Stang; S Moebus; N Dragano; E M Beck; S Möhlenkamp; A Schmermund; J Siegrist; R Erbel; K H Jöckel
Journal:  Eur J Epidemiol       Date:  2005       Impact factor: 8.082

4.  Leveraging Digital Data to Inform and Improve Quality Cancer Care.

Authors:  Tina Hernandez-Boussard; Douglas W Blayney; James D Brooks
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-02-17       Impact factor: 4.254

5.  Are spouses' socio-economic classifications interchangeable? Examining the consequences of a commonly used practice in studies on social inequalities in health.

Authors:  Denise Muschik; Jelena Jaunzeme; Siegfried Geyer
Journal:  Int J Public Health       Date:  2015-10-07       Impact factor: 3.380

6.  Risk of childhood acute lymphoblastic leukaemia following parental occupational exposure to extremely low frequency electromagnetic fields.

Authors:  A Reid; D C Glass; H D Bailey; E Milne; N H de Klerk; P Downie; L Fritschi
Journal:  Br J Cancer       Date:  2011-09-13       Impact factor: 7.640

7.  Quality of working life of cancer survivors: development of a cancer-specific questionnaire.

Authors:  Merel de Jong; Sietske J Tamminga; Angela G E M de Boer; Monique H W Frings-Dresen
Journal:  J Cancer Surviv       Date:  2015-09-14       Impact factor: 4.442

8.  Unit Nonresponse in a Population-Based Study of Prostate Cancer.

Authors:  Evrim Oral; Neal Simonsen; Christine Brennan; Jennifer Berken; L Joseph Su; James L Mohler; Jeannette T Bensen; Elizabeth T H Fontham
Journal:  PLoS One       Date:  2016-12-16       Impact factor: 3.240

9.  Lung cancer and occupation in a population-based case-control study.

Authors:  Dario Consonni; Sara De Matteis; Jay H Lubin; Sholom Wacholder; Margaret Tucker; Angela Cecilia Pesatori; Neil E Caporaso; Pier Alberto Bertazzi; Maria Teresa Landi
Journal:  Am J Epidemiol       Date:  2010-01-04       Impact factor: 4.897

10.  Efficiency of two-phase methods with focus on a planned population-based case-control study on air pollution and stroke.

Authors:  Anna Oudin; Jonas Björk; Ulf Strömberg
Journal:  Environ Health       Date:  2007-11-07       Impact factor: 5.984

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