Differential loss of participants does not necessarily cause selection bias
Abstract Background: Most research is affected by differential participation, where individuals who do not participate have different characteristics to those who do. This is often assumed to induce selection bias. However, selection bias only occurs if the exposure‐outcome association differs for p...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2012-06-01
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| Series: | Australian and New Zealand Journal of Public Health |
| Subjects: | |
| Online Access: | https://doi.org/10.1111/j.1753-6405.2012.00867.x |
| _version_ | 1797762436616421376 |
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| author | Kristie N. Carter Fiona Imlach‐Gunasekara Sarah K. McKenzie Tony Blakely |
| author_facet | Kristie N. Carter Fiona Imlach‐Gunasekara Sarah K. McKenzie Tony Blakely |
| author_sort | Kristie N. Carter |
| collection | DOAJ |
| description | Abstract Background: Most research is affected by differential participation, where individuals who do not participate have different characteristics to those who do. This is often assumed to induce selection bias. However, selection bias only occurs if the exposure‐outcome association differs for participants compared to non‐participants. We empirically demonstrate that selection bias does not necessarily occur when participation varies in a study. Methods: We used data from three waves of the longitudinal Survey of Family, Income and Employment (SoFIE). We examined baseline associations of labour market activity and education with self‐rated health using logistic regression in five participation samples: A) the original sample at year one (n=22,260); B) those remaining in the sample (n=18,360); C) those (at year 3) consenting to data linkage (n=14,350); D) drop outs over three years (n=3,895); and E) those who dropped out or did not consent (n=7,905). Results: Loss to follow‐up was more likely among lower socioeconomic groups and those with poorer health. However, for labour market activity and education, the odds of reporting fair/poor health were similar across all samples. Comparisons of the mutually exclusive samples (C and E) showed no difference in the odds ratios after adjustment for sociodemographic (participation) variables. Thus, there was little evidence of selection bias. Conclusions: Differential loss to follow‐up (drop out) need not lead to selection bias in the association between exposure (labour market activity and education) and outcome (self‐rated health). |
| first_indexed | 2024-03-12T19:28:18Z |
| format | Article |
| id | doaj.art-1207d179884b46a6bb10897d832ce54f |
| institution | Directory Open Access Journal |
| issn | 1326-0200 1753-6405 |
| language | English |
| last_indexed | 2024-03-12T19:28:18Z |
| publishDate | 2012-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Australian and New Zealand Journal of Public Health |
| spelling | doaj.art-1207d179884b46a6bb10897d832ce54f2023-08-02T04:44:55ZengElsevierAustralian and New Zealand Journal of Public Health1326-02001753-64052012-06-0136321822210.1111/j.1753-6405.2012.00867.xDifferential loss of participants does not necessarily cause selection biasKristie N. Carter0Fiona Imlach‐Gunasekara1Sarah K. McKenzie2Tony Blakely3Department of Public Health, University of Otago, New ZealandDepartment of Public Health, University of Otago, New ZealandDepartment of Public Health, University of Otago, New ZealandDepartment of Public Health, University of Otago, New ZealandAbstract Background: Most research is affected by differential participation, where individuals who do not participate have different characteristics to those who do. This is often assumed to induce selection bias. However, selection bias only occurs if the exposure‐outcome association differs for participants compared to non‐participants. We empirically demonstrate that selection bias does not necessarily occur when participation varies in a study. Methods: We used data from three waves of the longitudinal Survey of Family, Income and Employment (SoFIE). We examined baseline associations of labour market activity and education with self‐rated health using logistic regression in five participation samples: A) the original sample at year one (n=22,260); B) those remaining in the sample (n=18,360); C) those (at year 3) consenting to data linkage (n=14,350); D) drop outs over three years (n=3,895); and E) those who dropped out or did not consent (n=7,905). Results: Loss to follow‐up was more likely among lower socioeconomic groups and those with poorer health. However, for labour market activity and education, the odds of reporting fair/poor health were similar across all samples. Comparisons of the mutually exclusive samples (C and E) showed no difference in the odds ratios after adjustment for sociodemographic (participation) variables. Thus, there was little evidence of selection bias. Conclusions: Differential loss to follow‐up (drop out) need not lead to selection bias in the association between exposure (labour market activity and education) and outcome (self‐rated health).https://doi.org/10.1111/j.1753-6405.2012.00867.xselection biasnon‐responsesurvey data |
| spellingShingle | Kristie N. Carter Fiona Imlach‐Gunasekara Sarah K. McKenzie Tony Blakely Differential loss of participants does not necessarily cause selection bias Australian and New Zealand Journal of Public Health selection bias non‐response survey data |
| title | Differential loss of participants does not necessarily cause selection bias |
| title_full | Differential loss of participants does not necessarily cause selection bias |
| title_fullStr | Differential loss of participants does not necessarily cause selection bias |
| title_full_unstemmed | Differential loss of participants does not necessarily cause selection bias |
| title_short | Differential loss of participants does not necessarily cause selection bias |
| title_sort | differential loss of participants does not necessarily cause selection bias |
| topic | selection bias non‐response survey data |
| url | https://doi.org/10.1111/j.1753-6405.2012.00867.x |
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