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April 19, 2026Current Opinion in ImmunologyOpen Access

A critical look at observational studies

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Authors

MTMurat TorğutalpDSDidem SahinKTKoray Taşçılar

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Overview

Review highlights confounding effects and systematic errors in observational studies, suggesting improved analysis methods.

Key Points

  • This review aims to examine critical issues affecting the validity of observational studies and their analyses.
  • Focused on common issues in observational data like confounding and collider bias.
  • Utilized directed acyclic graphs to analyze causal relationships.
  • Discussed estimation methods addressing time-varying confounding.
  • Assessed measurement error and missing data challenges.
  • Identified systematic errors that threaten validity in observational data.
  • Highlighted how collider bias can create misleading associations.
  • Emphasized the need for specific methods to handle time-varying confounding.
  • Discussed the impact of measurement error and misclassification on outcomes.

Cite This Study

Torğutalp et al. (2026) studied this question.

synapsesocial.com/papers/69e470a4010ef96374d8d91chttps://doi.org/10.1016/j.coi.2026.102778
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