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Cancer Epidemiology, Biomarkers & Prevention
Cancer Epidemiology, Biomarkers & Prevention
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Hypothesis/Commentary

Scientific Bias Arising from Sampling, Selective Recruitment, and Attrition: The Case for Improved Reporting

Wendy Demark-Wahnefried, Deborah J. Bowen, Jennifer M. Jabson and Electra D. Paskett
Wendy Demark-Wahnefried
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Deborah J. Bowen
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Jennifer M. Jabson
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Electra D. Paskett
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DOI: 10.1158/1055-9965.EPI-10-1169 Published March 2011
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Tables

  • Table 1.

    Recruitment strategies: pros and cons

    Recruitment methodRepresentative of a larger population?Sampled from definable poolApplication of standard methods for calculation of sample sizeCost
    Population basedYesYesYesExpensive
    Purposive recruitmentTargets subjects with specific characteristicsNoNoInexpensive
    Convenience samplingNoNoNoInexpensive
  • Table 2.

    Results of sampling and attrition inventory of CEBP research and brief report articles, September 2009–December 2009 (n = 116)

    CriteriaStatus, n (%)
    PresentAbsentNot Applicable
    Response rate37 (32)47 (40)32 (28)
    Exclusion criteria55 (47)49 (42)12 (11)
    Enrollee vs. nonenrollee differences10 (9)94 (80)12 (11)
    Attrition3 (3)14 (12)99 (85)
    Description of reasons for dropout2 (2)15 (13)99 (85)
    Dropout vs. completer differences2 (2)15 (13)99 (85)
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Cancer Epidemiology Biomarkers & Prevention: 20 (3)
March 2011
Volume 20, Issue 3
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Scientific Bias Arising from Sampling, Selective Recruitment, and Attrition: The Case for Improved Reporting
Wendy Demark-Wahnefried, Deborah J. Bowen, Jennifer M. Jabson and Electra D. Paskett
Cancer Epidemiol Biomarkers Prev March 1 2011 (20) (3) 415-418; DOI: 10.1158/1055-9965.EPI-10-1169

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Scientific Bias Arising from Sampling, Selective Recruitment, and Attrition: The Case for Improved Reporting
Wendy Demark-Wahnefried, Deborah J. Bowen, Jennifer M. Jabson and Electra D. Paskett
Cancer Epidemiol Biomarkers Prev March 1 2011 (20) (3) 415-418; DOI: 10.1158/1055-9965.EPI-10-1169
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