A Review of Time Scale Fundamentals in the g-Formula and Insidious Selection Bias

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Creator
  • Keil, Alexander P.
    • Gillings School of Global Public Health, Department of Epidemiology
  • Edwards, Jessie K.
    • Gillings School of Global Public Health, Department of Epidemiology
Abstract
  • Purpose of ReviewWe review recent examples of data analysis with the g-formula, a powerful tool for analyzing longitudinal data and survival analysis. Specifically, we focus on the common choices of time scale and review inferential issues that may arise.Recent FindingsResearchers are increasingly engaged with questions that require time scales subject to left truncation and right censoring. The assumptions necessary for allowing right censoring are well defined in the literature, whereas similar assumptions for left truncation are not well defined. Policy and biologic considerations sometimes dictate that observational data must be analyzed on time scales that are subject to left truncation, such as age.SummaryFurther consideration of left truncation is needed, especially when biologic or policy considerations dictate that age is the relevant time scale of interest. Methodologic development is needed to reduce potential for bias when left truncation may occur.
Date of publication
DOI
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Resource type
  • Article
Rights statement
  • In Copyright
Journal title
  • Current Epidemiology Reports
Journal volume
  • 5
Journal issue
  • 3
Page start
  • 205
Page end
  • 213
Version
  • Postprint
Funder
  • Eunice Kennedy Shriver National Institute of Child Health and Human Development
  • National Institute of Allergy and Infectious Diseases
ISSN
  • 2196-2995
Publisher
  • Springer Nature

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