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Related Experiment Videos

Some conceptual problems in multivariable analyses of perinatal mortality.

J L Kiely1

  • 1Gertrude H. Sergievsky Center, Faculty of Medicine, Columbia University, New York, New York.

Paediatric and Perinatal Epidemiology
|July 1, 1991
PubMed
Summary

Researchers frequently misuse multivariable analysis in maternal and child health studies. This review identifies common statistical errors and suggests improved methods for analyzing perinatal and infant mortality to ensure accurate causal inference.

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Area of Science:

  • Biostatistics
  • Epidemiology
  • Maternal and Child Health Research

Background:

  • Multivariable analysis is commonly used to study perinatal and infant mortality.
  • A review of 35 years of published research revealed recurring methodological issues.

Purpose of the Study:

  • To identify and address common problems in multivariable analyses of perinatal and infant mortality.
  • To propose solutions for more accurate causal inference in maternal and child health research.

Main Methods:

  • Systematic review of multivariable analyses in maternal and child health literature over 35 years.
  • Identification of four recurring problems in statistical analysis and variable handling.

Main Results:

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  • Problem 1: Intervening variables incorrectly controlled as confounders.
  • Problem 2: Inadequate categorization of continuous variables like birthweight.
  • Problem 3: Neglect of statistical interactions between variables (e.g., social factors and birthweight).
  • Problem 4: Simultaneous entry of highly intercorrelated variables representing similar constructs.
  • Conclusions:

    • Current multivariable analyses often contain significant methodological flaws.
    • Improved analytical approaches incorporating subject-matter expertise are needed for valid confounding and causal inference.
    • Addressing these issues can lead to more accurate understanding of perinatal and infant mortality determinants.