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Related Experiment Video

Updated: Jun 20, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

Anonymous non-response analysis in the ABCD cohort study enabled by probabilistic record linkage.

M Tromp1, M van Eijsden, A C J Ravelli

  • 1Department of Medical Informatics, Academic Medical Center, Amsterdam, The Netherlands. m.tromp@amc.uva.nl

Paediatric and Perinatal Epidemiology
|September 25, 2009
PubMed
Summary

Selective non-response was found in the Amsterdam Born Children and their Development study (ABCD-study). However, data linkage confirmed that selection bias was acceptably low and did not impact the study's main findings on child health.

Related Experiment Videos

Last Updated: Jun 20, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

Area of Science:

  • Epidemiology
  • Public Health
  • Biostatistics

Background:

  • Selective non-response poses a significant threat to the validity of cohort studies, potentially introducing selection bias.
  • The Amsterdam Born Children and their Development study (ABCD-study) investigates factors influencing child health from pregnancy.
  • Assessing non-response bias is crucial for ensuring the reliability of cohort study findings.

Purpose of the Study:

  • To analyze selective non-response and selection bias within the ABCD-study.
  • To compare characteristics and birth outcomes of study respondents versus non-respondents.
  • To determine if non-response influenced the observed associations between risk factors and child health outcomes.

Main Methods:

  • Linked ABCD-study data with national perinatal registry data using probabilistic medical record linkage.
  • Employed Pearson chi-squared tests to compare risk factors and birth outcomes between respondents and non-respondents.
  • Utilized regression analysis, with and without adjustment for participation status, to assess selection bias in risk-outcome associations.

Main Results:

  • Non-respondents were younger, more often of non-western ethnicity, and more often multiparous.
  • Non-respondents accessed antenatal care later, had more obstetrician supervision, and more spontaneous deliveries.
  • Non-response was not significantly associated with preterm birth or low birthweight after adjusting for sociodemographic factors.

Conclusions:

  • Selective non-response was identified in the ABCD-study.
  • Despite selective non-response, selection bias was acceptably low and did not affect the study's primary research questions.
  • Anonymized record linkage is a valuable method for assessing non-response bias in large cohort studies.