Loss to Follow-Up in Cohort Studies: How Much is Too Much?

  title={Loss to Follow-Up in Cohort Studies: How Much is Too Much?},
  author={Vicki L. Kristman and Michael V Manno and Pierre C{\^o}t{\'e}},
  journal={European Journal of Epidemiology},
Loss to follow-up is problematic in most cohort studies and often leads to bias. Although guidelines suggest acceptable follow-up rates, the authors are unaware of studies that test the validity of these recommendations. The objective of this study was to determine whether the recommended follow-up thresholds of 60–80% are associated with biased effects in cohort studies. A simulation study was conducted using 1000 computer replications of a cohort of 500 observations. The logistic regression… CONTINUE READING


Publications citing this paper.
Showing 1-10 of 150 extracted citations

Abnormal Cardiovascular Findings in Acute Pancreatitis: Are They Associated with Disease Severity?

Revista de investigacion clinica; organo del Hospital de Enfermedades de la Nutricion • 2017
View 4 Excerpts
Highly Influenced

First-Aid Treatment for Friction Blisters: "Walking Into the Right Direction?"

Clinical journal of sport medicine : official journal of the Canadian Academy of Sport Medicine • 2018


Publications referenced by this paper.
Showing 1-10 of 20 references

Attrition in longitudinal studies. How to deal with missing data.

Journal of clinical epidemiology • 2002
View 4 Excerpts
Highly Influenced

Missing data: our view of the state of the art.

Psychological methods • 2002
View 3 Excerpts
Highly Influenced

A high response is not essential to prevent selection bias: results from the Leiden 85-plus study

A Bootsma-van der Wiel, E van Exel, +3 authors DL Knook
J Clin Epidemiol • 2002
View 1 Excerpt

Attrition in longitudinal population studies: does it affect the generalizability of the findings? An introduction to the series

Deeg DJH
J Clin Epidemiol • 2002
View 1 Excerpt

The potential impact of attrition bias in cohort studies: A simulation study

V Kristman, M Manno, P. Côté
Working Paper No. 180. Toronto: Institute for Work & Health, • 2002
View 1 Excerpt

Statistics in medical journals: some recent trends.

Statistics in medicine • 2001
View 2 Excerpts

Similar Papers

Loading similar papers…