Attrition Bias

2021 ◽  
pp. 552-552
Keyword(s):  
1991 ◽  
Vol 8 (3) ◽  
pp. 273-280 ◽  
Author(s):  
B. Golany ◽  
F.Y. Phillips ◽  
J.J. Rousseau
Keyword(s):  

PEDIATRICS ◽  
1980 ◽  
Vol 66 (1) ◽  
pp. 152-152
Author(s):  
Stanley A. Cohen ◽  
Kristy Hendricks ◽  
W. Allan Walker

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.


Obesity ◽  
2020 ◽  
Vol 29 (1) ◽  
pp. 213-219
Author(s):  
Deanna J. M. Isaman ◽  
William H. Herman ◽  
Amy E. Rothberg

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

1986 ◽  
Vol 10 (6) ◽  
pp. 853-859 ◽  
Author(s):  
Alfred McAlister ◽  
Nancy P. Gordon

2021 ◽  
Author(s):  
Ashleigh Cara Stewart ◽  
Reece Cossar ◽  
Shelley Walker ◽  
Anna Lee Wilkinson ◽  
Brendan Quinn ◽  
...  

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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