Missing, presumed different: Quantifying the risk of attrition bias in education evaluations

2021 ◽  
Author(s):  
Ben Weidmann ◽  
Luke Miratrix
Keyword(s):  
Attrition Bias

Few-wave vs. continuous consumer panels: Some issues of attrition, bias and variance

1991 ◽  
Vol 8 (3) ◽  
pp. 273-280 ◽  
Author(s):  
B. Golany ◽  
F.Y. Phillips ◽  
J.J. Rousseau
Keyword(s):  
Attrition Bias

Letters to the Editor

PEDIATRICS ◽  
1980 ◽  
Vol 66 (1) ◽  
pp. 152-152
Author(s):  
Stanley A. Cohen ◽  
Kristy Hendricks ◽  
W. Allan Walker
Keyword(s):  
Total Population ◽  
Letters To The Editor ◽  
Attrition Bias ◽  
Dietary Records

Dr. Forsyth's letter and insightful comments are appreciated. It provides the impetus and forum to clarify some potentially confusing statements in our recent publication. A statistical attrition bias is possible since only 26 complete dietary records were available for follow-up. The patients were drawn from a total population of 500 outpatients seen in our clinic over a 2½-year period. They were examined by various physicians and dieticians during that time. Although vigorous attempts were made to obtain initial and follow-up data on all of the patients with chronic nonspecific diarrhea, those data were not obtainable from all of the patients.

scholarly journals Attrition Bias in an Observational Study of Very Low‐Energy Diet: A Cohort Study

Obesity ◽  
2020 ◽  
Vol 29 (1) ◽  
pp. 213-219
Author(s):  
Deanna J. M. Isaman ◽  
William H. Herman ◽  
Amy E. Rothberg
Keyword(s):  
Cohort Study ◽  
Observational Study ◽  
Low Energy ◽  
Attrition Bias ◽  
Very Low Energy Diet ◽  
Low Energy Diet

Attrition bias in the Capitalia panel

2007 ◽  
Vol 54 (3) ◽  
pp. 383-403 ◽  
Author(s):  
Annamaria Nese ◽  
Niall O’Higgins
Keyword(s):  
Attrition Bias

Attrition Bias in a Cohort Study of Substance Abuse Onset and Prevention

1986 ◽  
Vol 10 (6) ◽  
pp. 853-859 ◽  
Author(s):  
Alfred McAlister ◽  
Nancy P. Gordon
Keyword(s):  
Substance Abuse ◽  
Cohort Study ◽  
Attrition Bias

scholarly journals Strategies to maximise study retention and limit attrition bias in a prospective cohort study of men reporting a history of injecting drug use released from prison: The Prison and Transition Health study

2021 ◽  
Author(s):  
Ashleigh Cara Stewart ◽  
Reece Cossar ◽  
Shelley Walker ◽  
Anna Lee Wilkinson ◽  
Brendan Quinn ◽  
...  
Keyword(s):  
Cohort Study ◽  
Drug Use ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Injecting Drug Use ◽  
Health Study ◽  
Attrition Bias ◽  
History Of ◽  
Baseline Characteristics

Abstract Background There are significant challenges associated with studies of people released from custodial settings, including loss to follow-up in the community. Interpretation of findings with consideration of differences between those followed up and those not followed up is critical in the development of evidence-informed policies and practices. We describe attrition bias in the Prison and Transition Health (PATH) prospective cohort study, and strategies employed to minimise attrition.Methods PATH involves 400 men with a history of injecting drug use recruited from three prisons in Victoria, Australia. Four interviews were conducted: one pre-release (‘baseline’) and three interviews at approximately 3, 12, and 24 months post-release (‘follow-up’). We assessed differences in baseline characteristics between those retained and not retained in the study, using two-sample tests of proportions and t-tests.Results Most participants (85%) completed at least one follow-up interview and 162 (42%) completed all three follow-up interviews. Retained participants were younger than those lost to follow-up (mean diff − 3.1 years, 95% CI -5.3, -0.9). There were no other statistically significant differences observed in baseline characteristics.Conclusion The high proportion of participants retained in the PATH cohort study via comprehensive follow-up procedures, coupled with extensive record linkage to a range of administrative datasets, is a considerable strength of the study. Our findings highlight how strategic and comprehensive follow-up procedures, frequent contact with participants and secondary contacts, and established working relationships with the relevant government departments can improve study retention and potentially minimise attrition bias.

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